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data and analytics architect l2

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: Data and Analytics Architect L2
</div></div></div></div><div><div><div><div>Req Id: 110080
</div></div></div></div><div><div><div><div>City: Chicago
</div></div></div></div><div><div><div><div>State/Province: Illinois
</div></div></div></div><div><div><div><div>Posting Start Date: 11/10/25
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><div><ul><li>Good experience in SAP Retail implementation and Article master including integrations with Hybris.
</li></ul></div><div><ul><li>Good understanding of how dynamic bundling of components to create a final sellable product works in SAP Retail/ SAP MDM/ Hybris landscape.
</li></ul></div><div><ul><li>Set up and manage <b>SAP Master Data </b>to support key business functions like sales, procurement, supply chain, and merchandising.
</li></ul></div><ul><li>Work closely with the <b>PMO and other business teams </b>to understand their needs and offer SAP solutions that fit.
</li><li>Take a leading role in <b>data governance </b>&ndash; making sure data is accurate, consistent, and properly used.
</li><li>Handle <b>data migration </b>projects &ndash; moving data from legacy systems into SAP without errors.
</li><li>Find ways to <b>optimize processes </b>and streamline workflows across departments.
</li><li>Guide and support <b>cross-functional teams </b>, ensuring everyone is aligned and projects stay on track.
</li><li>Deliver <b>high-quality, sustainable SAP solutions </b>that support long-term business goals.<br>
</li></ul><p></p><div><p><b>Key Skills:
</b></p></div><div><ul><li><b>SAP Retail </b>and <b>SAP MDM/MDG </b>with integration to <b>Hybris </b>.
</li></ul></div><div><ul><li>Strong experience in <b>SAP Master Data </b>and <b>Assortment Planning
</b></li></ul></div><ul><li>Deep understanding of <b>master data governance </b>, <b>data migration </b>, <b>data quality </b>and <b>process improvement
</b></li><li>Proven leadership in cross-functional teams and project environments
</li><li>Excellent collaboration and communication skills
</li>Ability to translate business needs into efficient SAP processes<br>
<li><ul><li>
</li></ul></li></ul></div></div></div></div></div></div></div><p></p><div><div><div><div>Mandatory Skills: SAP MDM - Master Data Management .<br>
<p></p>Experience: &gt;10 YEARS .<br>
<p></p>The expected compensation for this role ranges from $100,000 to $200,000 .<br>
<p></p>Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.<br>
<p></p>Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.<br>
<p></p>Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

Data and Analytics Architect L2

Uber

<div><b>About the Role
</b><br>
<br>
We are seeking a highly motivated and skilled Data Analyst to help stand up robust agent and team-level reporting for the Crash and Claims team. This role sits within the Global Field Analytics team and will be a key player in shaping the future of reporting for this critical support work within Uber!
<br>
<br>
In this role, you will create agent- and team-level reports for the Crash and Claims team within the Insurance organization. This high-visibility team focuses on enhancing insurance claim intake, streamlining the end-to-end claimant journey, and improving the customer experience for everyone involved in a crash or insurance claim across the U.S. and Canada. As the primary point of contact for all Crash and Claims agent and team analytic needs, you will have significant ownership and visibility. You'll be responsible for establishing the single source of truth for this critical workstream.
<br>
<br>
The Global Field Analytics team handles reporting on team and agent level performance across Global COEs, Greenlights, and other customer-support focused organizations within Uber. The team is made up of regional teams across the globe that work together to support regional reporting needs while also trying to globalize/standardize the data products we support wherever possible.
<br>
<br>
<b>What You'll Do
</b><ul><li>Perform deep-dive analysis to unpack insights and recommend solutions to business problems for the Crash and Claims team
</li><li>Translate ambiguous questions into data-driven recommendations
</li><li>Develop an in-depth understanding of business performance and share strategic insights with senior leadership to influence decision-making
</li><li>Become the data subject matter expert on agent and team performance for the Crash and Claims team,building deep domain expertise and establishing the source of truth reporting
</li><li>Create and implement various analytics projects to inform strategy with company leadership, including the development of reports, dashboards, and scripts/automations
</li><li>Collaborate cross-functionally with Crash and Claims Operations, Data Infrastructure and other internal reporting teams to build comprehensive, cross-functionally aligned reporting solutions
</li><li>Write complex SQL queries to extract, manipulate, and analyze data
</li><li>Use Python for data transformation, automation, and model development
</li><li>Identify, plan, and execute projects and root cause analyses to improve existing processes
</li><li>Build dashboards and reporting, primarily in Tabaleau
</li></ul><b>Basic Qualifications
</b><ul><li>3 years of work experience in finance analytics, business analytics, data analytics, or within a similar field
</li><li>Experience with Tableau and/or a similar data visualization tool
</li><li>Experience with SQL
</li><li>Bachelor's Degree
</li></ul><b>Preferred Qualifications
</b><ul><li>Advanced SQL skills. - Editable to proficiency level tied to role level
</li><li>High technical proficiency in common analytics &amp; reporting tools (e.g., Tableau, Google Data Studio, Google Sheets/Excel)
</li><li>Experience in Python
</li><li>Experience working with customer support or customer insights
</li><li>Advanced data analysis skills leading to actionable recommendations
</li><li>Experience in leading high-visibility projects and influencing others in a cross-functional team environment
</li><li>Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences
</li><li>Strong sense of ownership and accountability
</li><li>Curious, self-directed, and impact-driven-you chase high-impact problems to deliver solutions
</li><li>Comfortable with ambiguity and switching contexts in a fast-moving environment
</li><li>Experience in communicating with and presenting to senior leadership
</li><li>Strong storytelling ability:Distilling exciting and hard-to-find insights into a compelling, concise data story
</li><li>Comfort in working with ambiguity in a fast-paced environment
</li><li>Experience in data extraction, wrangling, and building pipelines
</li><li>Strong analytical and problem-solving mindset
</li><li>Highly self-motivated, proactive, and able to drive projects independently.
</li><li>Excellent communication and interpersonal skills
</li>Detail-oriented mindset, with a focus on accuracy, efficiency, and process standardization<br>
<li>
</li></ul><br>
<br>
For Chicago, IL-based roles: The base salary range for this role is USD$102,000 per year - USD$113,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Data Analyst I

The Hartford

<div>Sr Staff Data Engineer - GE07DE<p></p><p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.</p><p></p><p><br>
The Enterprise Data Services Department&rsquo;s Customer Data Ecosystem Operations Team is looking for a skilled Sr. Staff AI Data Engineer (Tech Lead) to join our team. This is an exciting opportunity to join us on our multi-year Cloud Modernization journey. The role focuses on integrating data from multiple systems, curating and transforming it into high-quality data products for actionable insights, using a mix of solutions spanning AI and Cloud tools and technologies. You uphold data integrity, accessibility, and compliance while creating curated Data Products to support diverse analytics needs&mdash;including descriptive, diagnostic, predictive, and prescriptive use cases for visualization and advanced data science.</p><p></p><p>
Ideal candidates bring deep expertise in data engineering frameworks and tools (e.g., Spark, Snowflake), proficiency in programming languages (Python, SQL, PL/SQL), and experience with DevOps / DataOps pipelines, cloud platforms (AWS services), and agile methodologies (Scrum, Kanban). Familiarity with data warehousing, streaming technologies, and modern architecture such as Lakehouse and Data Mesh is highly desirable. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environments.</p><p></p><p>
To succeed in this role, you should be a strong critical thinker, technical acumen and be able to derive the root causes of business problems.</p><p></p><p>
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Design, develop, and optimize ETL/ELT pipelines for both structured and unstructured data.</p></li><li><p>
Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.</p></li><li><p>
Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.</p></li><li><p>
Ingest and process large-scale datasets into the Enterprise Data Lake and downstream systems.</p></li><li><p>
Curate and publish Data Products to support analytics, visualization, and machine learning use cases.</p></li><li><p>
Collaborate with data analysts, data scientists, and BI teams to build data models and pipelines for research, reporting, and advanced analytics.</p></li><li><p>
Apply best practices for data modeling, governance, and security across all solutions.</p></li><li><p>
Partner with cross-functional teams to ensure alignment and delivery of high-value outcomes.</p></li><li><p>
Monitor and fine-tune data pipelines for performance, scalability, and reliability.</p></li><li><p>
Automate auditing, balance, reconciliation, and data quality checks to maintain high data integrity.</p></li><li><p>
Develop self-healing pipelines with robust re-startability mechanisms for resilience.</p></li><li><p>
Schedule and orchestrate complex, dependent workflows using tools like MWAA, Autosys, or Control-M.</p></li><li><p>
Leverage CI/CD pipelines to enable automated integration, testing, and deployment processes.</p></li><li><p>
Lead Proof of Concepts (POCs) and technology evaluations to drive innovation.</p></li><li><p>
Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.</p></li><li><p>
Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.</p></li><li><p>
Implement data observability practices to proactively monitor data health, lineage, and quality across pipelines, ensuring transparency and trust in data assets.</p></li></ul><p></p><p><b>
Required Skills &amp; Experience</b>:</p><ul><li><p>
Bachelor&rsquo;s or master&rsquo;s degree in computer science or a related discipline.</p></li><li><p>
5+ years of experience in data analysis, transformation, and development, with ideally 2+ years in the insurance or a related industry.</p></li><li><p>
3+ years of experience developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake.</p></li><li><p>
Strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation (3+ years).</p></li><li><p>
Experience designing and optimizing data models for Data Warehouses, Data Marts, and Data Fabric, including dimensional modeling, semantic layers, metadata management, and integration for scalable, governed, and high-performance analytics (3+ years).</p></li><li><p>
3+ years of hands-on experience in processing large-scale structured and unstructured data in both batch and near-real-time environments, leveraging distributed computing frameworks and streaming technologies for high-performance data pipelines.</p></li><li><p>
Strong technical knowledge (AI solution leveraging Cloud and modern solutions)</p></li><li><p>
3+ years of experience in Agile methodologies, including Scrum and Kanban frameworks.</p></li><li><p>
2+ years of experience in leveraging DevOps pipelines for automated testing and deployment, ensuring continuous integration and delivery of data solutions.</p></li><li><p>
Proficient in data visualization tools such as Tableau and Power BI, with expertise in creating interactive dashboards, reports, and visual analytics to support data-driven decision-making.</p></li><li><p>
Ability to analyze source systems, provide business solutions, and translate these solutions into actionable steps.</p></li></ul><p></p><p><b>
Nice to Have</b></p><ul><li><p>
Certifications in AWS Data &amp; Analytics Services, Snowflake, and Informatica IDMC.</p></li><li><p>
Experience in building and integrating AI agents into data workflows.</p></li><li><p>
Strong knowledge of data governance, including metadata management and lineage tracking, with hands-on experience collaborating with the Data Governance Office.</p></li></ul><p></p><p><b>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</b></p><p></p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p><p></p>
$135,040 - $202,560<p></p><p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p><p></p><p>
About Us | Our Culture | What It&rsquo;s Like to Work Here | Perks &amp; Benefits</p></div><p></p>

Senior Staff AI Data Engineer (Tech Lead)

Wells Enterprises, Inc.

<div><p>The Senior Analyst, Revenue Growth Management - Innovation, will be responsible for supporting revenue growth initiatives around innovation through data analysis, insights generation, and strategic recommendations the innovation portfolio. Working under the guidance of the Senior Manager, RGM Analytics, this role focuses on analyzing pricing, promotions, and product performance to uncover opportunities that drive profitability and growth for Innovation.
</p><p>Responsibilities Include:
</p><ul><li>Analyze complex datasets to identify trends, measure campaign effectiveness, and uncover revenue growth opportunities.
</li><li>Provide data-driven recommendations on PPA, pricing and promotion strategies and optimize revenue and profitability with new innovations.
</li><li>Build and maintain dashboards, reports, and tools to monitor key performance metrics and provide actionable insights to stakeholders post launch.
</li><li>Conduct research on market trends, competitor strategies, industry dynamics, and consumer behavior to support revenue growth initiatives.
</li><li>Work closely with cross-functional teams, including marketing, sales, finance, and supply chain, to align on revenue optimization goals.
</li><li>Identify opportunities to enhance data processes, tools, and methodologies to improve the efficiency and accuracy of analytics.
</li><li>Curious with critical thinking skills. Ability to work independently and with ambiguity.
</li><li>Effective communicator, able to articulate and present recommendations to brand and innovation teams.</li></ul></div>
<br><div><ul><li>Bachelor&rsquo;s degree in Business, Economics, Brand Marketing, Statistics, or a related field.
</li><li>5-7 years of experience in analytics, revenue management, brand management or a similar role. Exposure to pricing, promotions, or financial performance analytics is preferred.
</li><li>Understanding of statistical methods and predictive modeling techniques. Knowledge of marketing and financial performance metrics
</li><li>Proficiency in data analysis tools such as Excel, SQL, Tableau, Power BI, or similar platforms.
</li><li>Strong communication skills to present data findings clearly and effectively.
</li><li>Proficiency in Nielsen / IRI data. Familiarity with Numerator, or other panel data is preferred.
</li><li>Consumer Packaged Goods (CPG) experience is preferred. Experience with FMMC is a plus.
</li><li>Detail-oriented with strong problem-solving abilities.
</li><li>Ability to work independently while managing multiple priorities.
</li></ul><p>Wells Enterprises is an EEO/AA employer M/F/Vet/Dis
</p><p>The base pay range for this position is $84,648 to $118,507 annually. Actual compensation will be determined based on experience, qualifications, and other job-related factors permitted by law. This pay range represents the anticipated salary for this position at this time.
</p><p>#Hybrid</p></div>

Sr Analyst, Revenue Growth Management – Innovation

Kirkland & Ellis

<div><p><b>About Kirkland &amp; Ellis</b>
</p><p>At Kirkland &amp; Ellis, we don&rsquo;t just meet the standard for legal excellence &mdash; we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 22 offices worldwide. Our dedicated professionals share our lawyers&rsquo; commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.</p><p><b>
What You&rsquo;ll Do</b>
</p><p>Are you passionate about transforming financial data into actionable insights that drive smarter decision-making? As a <b>Senior Analyst, Financial Planning &amp; Analysis (FP&amp;A)</b> focused on Power BI and automation, you&rsquo;ll help modernize the firm&rsquo;s financial reporting and analytics environment. This role blends traditional FP&amp;A responsibilities with cutting-edge data visualization and process automation, shaping how firm leadership accesses and interprets critical performance data.Are you passionate about transforming financial data into actionable insights that drive smarter decision-making? As a <b>Senior Analyst, Financial Planning &amp; Analysis (FP&amp;A)</b> focused on Power BI and automation, you&rsquo;ll help modernize the firm&rsquo;s financial reporting and analytics environment. This role blends traditional FP&amp;A responsibilities with cutting-edge data visualization and process automation, shaping how firm leadership accesses and interprets critical performance data.Are you passionate about transforming financial data into actionable insights that drive smarter decision-making? As a <b>Senior Analyst, Financial Planning &amp; Analysis (FP&amp;A)</b> focused on Power BI and automation, you&rsquo;ll help modernize the firm&rsquo;s financial reporting and analytics environment. This role blends traditional FP&amp;A responsibilities with cutting-edge data visualization and process automation, shaping how firm leadership accesses and interprets critical performance data.</p><p>
You&rsquo;ll collaborate across Finance Systems, Accounting, and practice management teams to convert manual, SQL-based reporting into streamlined, automated Power BI dashboards&mdash;delivering consistent, real-time insights that elevate firm-wide decision-making.<b>
</b></p><ul><li><b>Design and optimize dashboards</b> &ndash; Build, enhance, and maintain dynamic Power BI dashboards and data models used by FP&amp;A and firm leadership.</li><li><b>
Automate reporting processes</b> &ndash; Translate and migrate existing SQL-based reports into Power BI solutions that eliminate manual reporting and improve efficiency.</li><li><b>
Deliver financial insights </b>&ndash; Support monthly forecasting, variance analysis, and management reporting across business functions and practice areas.</li><li><b>
Collaborate for data accuracy</b> &ndash; Partner with Finance Systems and Accounting teams to ensure clean, consistent data and seamless automation across key sources.</li><li><b>
Drive process improvements</b> &ndash; Streamline recurring reporting cycles and develop automated workflows using Power BI, Power Query, and Power Automate.</li><li><b>
Enhance planning tools </b>&ndash; Support annual budgeting and forecasting with improved visualization, automation, and scenario analysis capabilities.</li><li><b>
Champion best practices</b> &ndash; Serve as a subject-matter expert on Power BI and guide the team in adopting modern analytics tools and techniques.</li></ul><p><b>
What You&rsquo;ll Bring</b>
</p><ul><li>Bachelor&rsquo;s degree in Finance, Accounting, Economics, Data Analytics, or a related field; with 3 to 5 years of experience in FP&amp;A, financial analysis, or business intelligence, ideally within a professional services or corporate environment.</li><li><b>
Data skills</b> &ndash; Working knowledge of Structured Query Language (SQL) and the ability to translate and optimize queries for Power BI use.</li><li><b>
Analytical capability</b> &ndash; Advanced Excel skills and familiarity with automation tools such as Power Automate or Alteryx.</li><li><b>
Attention to detai</b>l &ndash; Strong analytical mindset with a focus on data integrity, visualization quality, and process improvement</li><li><b>
Communication skills</b> &ndash; Ability to present insights clearly and confidently to senior stakeholders.</li><li><b>
Ownership and initiative</b> &ndash; Self-starter mindset with a drive to deliver high-quality, efficient reporting solutions.</li><li><b>
Tech-Savvy</b> &ndash; Strong proficiency in Microsoft Power BI (including Data Analysis Expressions (DAX), Power Query, and data modeling).</li></ul><p>
If you&rsquo;re eager to modernize financial analytics, streamline reporting, and deliver impactful insights through automation and visualization, we&rsquo;d love to hear from you!</p><p><b>
Compensation</b>
</p><p>The base salary range below represents the low and high end of the salary range for this position in Chicago. This range may differ based on your geographic location and cost of living considerations. At Kirkland &amp; Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.</p><p>
Compensation Range:</p><p>
Chicago: $120,000 - $130,000</p><p><b>
How to Apply</b>
</p><p>Thank you for your interest in Kirkland &amp; Ellis LLP. To complete an application and submit your resume, please click &quot;Apply Now.&quot;</p><p><i>
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.</i></p><p>
</p><p><b>Equal Employment Opportunity</b>
</p><p>All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee&rsquo;s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law.</p></div>

Senior Financial Analyst (Power BI and Automation)

Tapestry 360 Health

<div><p>The <b>Part-Time Data Analyst</b> supports Tapestry 360 Health&rsquo;s mission by transforming healthcare data into meaningful insights that drive decision-making and improve outcomes. This role will assist in developing datasets, dashboards, and analytical tools that guide leadership, quality improvement, and operational performance across the organization.</p><p>
This position is ideal for someone who enjoys turning data into actionable stories and is motivated by the opportunity to make a measurable impact on community health.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Develop, maintain, and enhance <b>datasets, dashboards, and reports</b> for leadership and internal/external stakeholders.</li><li>
Build and maintain <b>Power BI dashboards</b> that communicate clear and actionable insights.</li><li>
Manage and troubleshoot <b>SQL queries, data pipelines, and reporting libraries</b> to ensure accuracy and reliability.</li><li>
Collaborate with cross-functional teams to ensure data quality and consistency across systems.</li><li>
Partner with Quality, Operations, and Finance teams to translate data into insights that inform clinical and organizational priorities.</li><li>
Support integration between <b>Electronic Health Records (EHR)</b> and external data systems to improve analytics capabilities.</li><li>
Assist in developing <b>data governance and reporting standards</b> that support transparency and organizational learning.</li><li>
Respond to ad hoc data analysis requests and support special reporting projects as assigned.</li></ul><p><b>
Qualifications:</b></p><p><b>
Education &amp; Experience</b></p><ul><li>
Bachelor&rsquo;s degree in <b>Data Analytics, Public Health, Information Systems, Business, or related field</b>; equivalent experience considered.</li><li>
2+ years of experience in <b>data analytics, business intelligence, or healthcare data reporting</b>, preferably within an FQHC or healthcare environment.</li><li>
Demonstrated proficiency with <b>Microsoft Power BI, SQL, and Excel</b>. Experience with <b>Snowflake, Tableau, or similar platforms</b> is a plus.</li></ul><p><b>
Skills &amp; Competencies</b></p><ul><li>
Strong analytical, organizational, and problem-solving skills.</li><li>
Understanding of <b>healthcare data standards</b> (e.g., UDS, ICD-10, CPT, LOINC) and familiarity with <b>EHR systems</b>.</li><li>
Ability to present complex data in clear, user-friendly ways for diverse audiences.</li><li>
Excellent communication and interpersonal skills, with the ability to collaborate across teams.</li><li>
High attention to detail and a genuine interest in leveraging data to improve health outcomes.</li></ul><p><b>
Additional Requirements</b></p><ul><li>
Valid driver&rsquo;s license and reliable transportation for travel between Tapestry 360 Health locations.</li><li>
Ability to lift up to 25 pounds occasionally.</li><li>
Willingness to work occasional evenings or weekends during system upgrades or rollouts.</li></ul><p><b>
Salary and Benefits:</b></p><ul><li><b>
Hourly Rate:</b> $30&ndash;$45 per hour (commensurate with experience and qualifications)</li><li><b>
Schedule:</b> Approximately 20 hours per week; flexible hybrid schedule available</li></ul><p></p><p><br>
Tapestry 360 Health is committed to equitable and transparent pay practices. In accordance with the Illinois Pay Transparency Act, we are disclosing the full salary range for this position. This range represents the potential compensation for the role based on experience, tenure, and performance over time.</p><p>
Most new employees can expect an initial offer within the lower portion of the range, reflecting factors such as prior experience, internal equity, and organizational budget. Salary progression is evaluated regularly to support professional growth and retention.</p></div>

Data Analyst

Options Clearing Corporation

<div><div>*****THIS POSITION IS NOT ELIGIBLE FOR VISA SPONSORSHIP*****</div><div></div><div><div>
Summary</div><div></div><div>
This role is responsible for expanding OCC&rsquo;s analytics capabilities by developing business-focused data engineering solutions and enterprise data models for our most important data assets. In this role, you will lead the design build of our internal analytics cloud data lake&rsquo;s semantic layer and the maintenance of the supporting ETL processes, with an emphasis on transformation and serving curated data that accelerates the ability of teams across the organization in successfully harnessing these data. You will collaborate with business users and technical teams across the organization to facilitate data-driven decision making by enabling exploration and analysis of historical and near real-time data access using cloud-based tools and technologies. Lastly, you will be responsible for gathering requirements and designing solutions that address the problem at hand, anticipating the yet-to-be-asked questions, and align to the company&rsquo;s security and IT standards.</div><div></div><div>
Responsibilities</div><ul><li>
To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.<br>
<ul><li></li></ul>
Partner with relevant business and technology teams to design and implement new cloud-based semantic layer to accelerate and simplify the analytics development of downstream users that develop quantitative analytics, internal risk apps, and BI dashboards.<br>
<ul><li></li></ul>
Lead business and technology SMEs to develop OCC&rsquo;s business domain model, which will empower communication and reasoning across the firm about the meaning of our core, proprietary data assets and how they generate and relate to each other.<br>
<ul><li></li></ul>
Drive the build, test, and deployment patterns of the semantic layer&rsquo;s virtual and physical data models that simplify complex semi-structured data, eliminate multiple definitions of similar data, create query-friendly datasets, and standardize column naming<br>
<ul><li></li></ul>
Establish and maintain trust in the semantic layer by shaping our DataOps practices of observability, monitoring, and automation of quality checks and ETL pipeline health for proactive system failure detection and incident response, before our users find out.<br>
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Maintain user query performance requirements of our semantic layer by optimizing storage and SQL object materialization patterns<br>
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Collaborate with Data Governance team and DBAs to design access controls around our analytics warehouse to meet Data Governance needs<br>
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Work with upstream data producers to understand how their systems generate data, and how they are subject to change over time to help anticipate and manage schema drift from semantic layer<br>
Business Sensitive<br>
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Curate and maintain the company&rsquo;s business domain model documentation<br>
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Create documentation to ensure data lineage is traceable and semantic layer components are easily discoverable and useful to business users from the data governance tools.<br>
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Invest in your continued learning of on modern data engineering, cloud computing, options trading industry, and financial risk management, with an eye towards improving maintainability, reliability, and utility of our analytics infrastructure</li></ul><div></div><div>
Supervisory Responsibilities</div><div>
None</div><div></div><div>
Are the essential duties of this job required to be performed in an OCC office location? No</div><div></div><div>
Qualifications &amp; Experience</div><ul><li>
The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.<br>
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[Required] Ability to collaborate with multiple partners (e.g. Business Users, Data and Solution Architects, Data Governance and IT teams - Data Platform Team, Systems &amp; Infrastructure, Security, DevOps, Networking) to craft solutions that align business goals with internal processes, security, and delivery standards in mind.<br>
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[Required] Past experiences building data products, data warehouses, databases, and other analytics systems depended on by other employees or customers<br>
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[Required] Ability to communicate technical concepts to audiences and ask pressing questions of people with varying levels of technical background, and synthesize non-technical requests into a technical specification<br>
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[Required] High attention to detail, tradeoffs, and an ability to think structurally about a solution<br>
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[Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences<br>
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[Required] Experience working within an agile environment<br>
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[Preferred] Subject matter experience working in the financial trading industry or a similar domain</li></ul><div></div><div>
Technical Skills &amp; Background</div><div>
Demonstrated proficiency in:</div><div></div><div>
[Required] Experience implementing and maintaining cloud-based data warehouses or data lakes and maintaining a semantic layer that meets the needs of business users</div><ul><li>[Preferred] Familiarity with data modeling design concepts such as 3rd-normal form versus denormalized data modeling concepts like star-schema or data vault</li><li>[Required] Ability to write and optimize complex analytical (SELECT) SQL queries and DDL queries, with an understanding of SQL optimization strategies</li><li>[Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences</li><li>[Required] Ability to write and manage python projects for custom data pipeline code (virtual environments, functional programming vs. OOP, unit testing)</li><li>[Required] Experience with a source code version control repository system, branch management patterns, pull requests, with a tool such as git and Github</li><li>[Required] Experience working with a linux shell and with container technology, such as docker or podman for portable code distribution and execution</li><li>[Preferred] Experience with transformation or semantic layer frameworks, such as dbt or Cube</li><li>[Preferred] Experience with batch orchestration tools such as Apache Airflow</li><li>[Preferred] Experience with data lake architectures, their open technology components and purpose in modern cloud data stacks for analytics, such as Apache Parquet, Apache Iceberg, and distributed or columnar optimized query engines, such as Trino or duckdb.</li><li>[Preferred] Experience with PAM platforms, such as CyberArk or Hashi Vault</li><li>[Preferred] Experience integrating code with CI/CD tools, like Jenkins, JFrog Artifactory</li><li>[Preferred] Understanding of applied statistics and hands-on experience applying these concepts</li><li>[Preferred] Experience with visualization/reporting tools, such as Tableau or Power BI</li><li>[Preferred] Experience with self-service ETL tools, such as AWS Glue or Alteryx</li></ul><div></div><div>
Education &amp; OR Experience</div><ul><li>
[Required] Bachelor's degree in quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience<br>
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[Preferred] Master's degree<br>
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[Required] 10+ years of experience as a data engineer, data modeler, or data scientist<br>
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[Preferred] Work experience in the global financial derivatives trading industry</li></ul></div><div></div><div>
Certificates or Licenses:</div><div></div><div>
[Preferred] Cloud platform certification<br>
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[Preferred] Data Engineering skills certification</div><div></div><div>
About Us</div><div>
The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.</div><div></div><div>
Benefits</div><div>
A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:</div><ul><li>
A hybrid work environment, up to 2 days per week of remote work</li><li>
Tuition Reimbursement to support your continued education</li><li>
Student Loan Repayment Assistance</li><li>
Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely</li><li>
Generous PTO and Parental leave</li><li>
401k Employer Match</li><li>
Competitive health benefits including medical, dental and vision</li></ul><div></div><div>
Visit <div>https://www.theocc.com/careers/thriving-together</div> for more information.</div><div></div><div>
Compensation</div><ul><li>
The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.</li><li>
In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.</li><li>
We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on <div>www.theocc.com/careers</div></li><li>
All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.</li></ul><div></div><div>
Salary Range</div>
$156,600.00 - $263,200.00<div></div><div>
Incentive Range</div>
23% to 30%<div></div><div>
This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance.</div><div></div><div>
Step 1<br>
When you find a position you're interested in, click the 'Apply' button. Please complete the application and attach your resume.</div><div></div><div>
Step 2<br>
You will receive an email notification to confirm that we've received your application.</div><div></div><div>
Step 3<br>
If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location.</div><div></div><div>
For more information about <div>OCC</div>, please click <div>here</div>.</div><div></div><div>
OCC is an Equal Opportunity Employer</div></div>

Principal, Data Analytics Engineering

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