data analytics

Palm Tree

<div>Associate/Senior Associate, Data &amp; Analytics 
 
About Palm Tree 
Palm Tree is a modern M&amp;A value creation firm that integrates financial consulting, operational consulting, and investment banking services. Founded in 2010, Palm Tree partners with private equity firms, business operators, and management teams through strategic events including acquisitions, carve-outs, recapitalizations, restructurings, integrations, and performance improvement initiatives. 
Palm Tree&rsquo;s Data &amp; Analytics practice helps private equity portfolio companies and middle-market businesses build modern, insight-driven data capabilities. Our team works alongside executive leadership to design, implement, and optimize data infrastructure and analytics solutions that provide real-time visibility into operational and financial performance.
The Senior Associate Position 
The Senior Associate is a key execution leader within Palm Tree&rsquo;s Data &amp; Analytics practice. Senior Associates manage client workstreams, build analytics solutions, and help organizations translate complex data into actionable insights. 
This role blends hands-on technical development with client-facing collaboration. Senior Associates work directly with business stakeholders to design data models, build reporting infrastructure, and implement analytics frameworks that support operational decision-making. 
The ideal candidate thrives in fast-paced environments, enjoys solving complex data challenges, and is comfortable working in entrepreneurial settings where processes and solutions are continuously evolving.
Core Responsibilities 
Data Modeling &amp; Engineering<ul><li>
Write production SQL to model, transform, and validate data across multiple source systems including ERP, CRM, and operational databases
</li><li>Build and maintain scalable data models that support reporting and analytics use cases
</li><li>Optimize query performance across complex multi-table schemas
</li><li>Document data pipelines, transformation logic, and business rules
</li></ul>Business Intelligence &amp; Reporting<ul><li>
Develop and maintain Power BI semantic models, reports, and dashboards
</li><li>Design KPI reporting frameworks that provide leadership teams with clear operational insights
</li><li>Implement row-level security and governance controls within BI environments
</li><li>Support deployment and maintenance of reporting pipelines
</li></ul>Data Strategy &amp; Client Engagement<ul><li>
Translate business questions into data requirements and analytical frameworks
</li><li>Partner with client stakeholders to define metrics, reporting needs, and data structures
</li><li>Support data governance, quality assurance, and analytics best practices
</li><li>Lead meetings and working sessions with business and technical stakeholders
</li></ul>Analytics Delivery &amp; Workstream Ownership<ul><li>
Independently manage analytics workstreams across client engagements
</li><li>Scope projects, estimate level of effort, and manage delivery timelines
</li><li>Synthesize insights from structured and unstructured data sources
</li><li>Deliver actionable recommendations that support operational and financial decision-making
</li></ul>Team Development &amp; Practice Growth<ul><li>
Mentor and support junior team members across analytics engagements
</li><li>Contribute to internal knowledge development and data architecture standards
</li><li>Support development of analytics methodologies and delivery frameworks within the practice
</li></ul>Qualifications<ul><li>
3+ years of experience in data analytics, business intelligence, or data engineering roles
</li><li>Strong SQL proficiency, including CTEs, window functions, subqueries, and complex joins
</li><li>Hands-on experience building Power BI models, DAX measures, and dashboards
</li><li>Experience translating business requirements into analytical frameworks and reporting solutions
</li><li>Strong communication skills with the ability to engage both technical and non-technical stakeholders
</li><li>Ability to manage multiple workstreams in fast-paced consulting or advisory environments
</li></ul>The ideal candidate will demonstrate strong analytical thinking, curiosity, and a willingness to solve complex data problems in entrepreneurial environments.
Preferred Experience<ul><li>
Experience working with cloud data platforms such as Azure or Snowflake
</li><li>Familiarity with ETL/ELT tools including Azure Data Factory or dbt
</li><li>Experience using Python for data transformation or automation
</li><li>Exposure to private equity or portfolio company environments
</li><li>Familiarity with ERP systems such as AS/400, NetSuite, or similar
</li></ul>Compensation and Benefits<ul><li>
Base salary range of $125,000&ndash;$150,000, with performance-based bonus opportunities.</li><li>
Comprehensive benefits package including medical, dental, and vision insurance.</li><li>
Competitive 401(k) program with employer matching contributions.</li><li>
Hybrid work environment with access to offices in Los Angeles, Chicago, and New York.</li><li>
Unlimited paid time off (PTO).</li><li>
Opportunities for career advancement within a merit-based, entrepreneurial culture.</li></ul>
_____________________________________________________________________________________
What to Expect When Applying
Whether this is your first time applying to Palm Tree or you&rsquo;ve connected with us before, you are welcome to use this portal to submit an updated r&eacute;sum&eacute;, cover letter, or other materials. Our recruiting team will thoughtfully incorporate your most recent information into your existing application profile. And yes&mdash;we do read cover letters. In fact, the cover letter is a great place to demonstrate why you're qualified for a position, even if you do not meet all requirements.
Application Confirmation 
After submitting your application, you will receive an email confirming that we&rsquo;ve received your materials.
Initial Review 
Once your application has been reviewed and added to our active candidate database, you will receive a second confirmation email. Timing for this step can vary based on current hiring needs and priorities, so we appreciate your patience.
Note: If a role is marked as an &ldquo;immediate&rdquo; opening, the posting will typically outline specific timelines for each stage of the process, including a potential start date.
Screening 
If and when a suitable opportunity arises, a member of our hiring team will reach out to schedule an introductory conversation. The timing of this step is demand-driven and can vary.
Interviews 
Qualified candidates will be invited into a formal interview process. As with earlier stages, timing may vary depending on hiring priorities and role requirements.
While we do carefully review every application, we are unable to provide individual feedback to all candidates due to application volume. We value transparency and sincerely appreciate your understanding.
Important Notice 
Palm Tree is not currently engaging outside recruiters or headhunters for this search. Unsolicited r&eacute;sum&eacute; submissions from third parties may inadvertently disqualify a candidate. All interested and qualified candidates should apply directly through this portal.
OuEl2Oo1b2</div>

Associate, Data & Analytics

BillGO, Inc.

<div>BillGO is building the next generation of payment and money movement infrastructure for small businesses. Data products and insights are core to how we scale reliability, reduce operational friction, and deliver better outcomes across payments, risk, and support.
We are looking for an Analytics Engineer to join our growing data team and help transform payments data into reliable, scalable, and actionable insights. Sitting at the intersection of data engineering, analytics, and business, you will build clean data models, define key metrics, and enable stakeholders across product, finance, risk, and operations to make data-driven decisions.
This role is ideal for someone who understands the complexity of payments ecosystems (transactions, settlements, fraud, reconciliation) and enjoys turning messy data into trusted, well-documented datasets.
 Why This Role Matters
This role matters because it transforms complex, fragmented payments data into a trusted foundation for decision-making across the business. As an Analytics Engineer, you enable teams to operate with clarity and confidence by building reliable data models, defining consistent metrics, and ensuring data integrity in a highly intricate financial ecosystem. In a space where accuracy, speed, and compliance are critical, your work directly impacts everything from revenue visibility and reconciliation to fraud detection and operational efficiency. By bridging the gap between raw data and business insight, this role not only improves day-to-day performance but also helps scale the company&rsquo;s data infrastructure, empowering smarter decisions and driving long-term growth in a rapidly evolving fintech landscape.
 What You&rsquo;ll Do<ul><li>
Design, build, and maintain scalable data models for customers, payments, transactions, settlements, and financial reporting
</li><li>Transform raw data into clean, reliable datasets and data models.
<ul><li>+Using tools like Claude, Coalesce, and Tableau
</li><li>Using data warehouses like Snowflake, AWS RDS, AWS DynamoDB
</li><li>Also incorporating other data sources from AWS S3, like csv, Json, and parquet files.
</li></ul></li><li>Develop data dictionaries, semantic layers, and data catalogs
</li><li>Partner with Product, Finance, Risk, and Operations teams to define key metrics and enable insights and dashboards for decision-making and predictions.
</li><li>Ensure data quality and integrity through testing, monitoring, and documentation
</li><li>Optimize data pipelines for performance and cost efficiency
</li><li>Translate business requirements into data solutions that scale with company growth
</li><li>Support regulatory and financial reporting needs (e.g., reconciliation, audit readiness)
</li><li>Contribute to data governance, definitions, and metric standardization</li></ul>
 What You Bring<ul><li>
3+ years of experience in an analytics engineering, data analytics, or data engineering role
</li><li>Strong SQL skills, data analytics skills, ability to interrogate data and derive impactful insights.
</li><li>Experience with Coalesce or similar transformation frameworks
</li><li>Experience with data warehousing (Snowflake)
</li><li>Experience modeling complex datasets (fact/dimension modeling, star schemas)
</li><li>Experience building metrics layers or semantic models
</li><li>Understanding of ELT pipelines and data orchestration tools
</li><li>Experience with Python for data processing
</li></ul><ul><li>Experience with version control using Github and Github actions
</li><li>Ability to translate ambiguous business questions into structured data models
</li><li>Strong attention to detail and data accuracy
</li><li>Experience working with cross-functional stakeholders
</li></ul>Preferred Qualifications
<ul><li>Data Science and Machine Learning hands-on experience.
</li><li>Familiarity with event-driven architectures or streaming data
</li><li>Experience working with payments data
</li><li>Familiarity with concepts like:
</li><li>Authorization &amp; settlement flows
</li><li>Interchange &amp; fees
</li><li>Chargebacks &amp; disputes
</li><li>Fraud detection signals
</li><li>Ledgering and reconciliation
</li><li>Exposure to compliance or financial reporting requirements
</li></ul> Compensation
We offer a competitive compensation package, including:<ul><li>
Base salary ($102,000-$146,900)
</li><li>Performance incentive
</li><li>Equity opportunities
</li><li>Comprehensive health, retirement, and lifestyle benefits</li></ul>
This role is about more than compensation, it&rsquo;s about the opportunity to transform how small businesses thrive in the digital economy.</div>

Data Analytics Engineer

Integrated Diagnostics Holdings - IDH

<div>
 
 
 About the Role:
 
 
 
 
 We are seeking a highly skilled BI Engineer to join our Data Management team. The ideal candidate will play a key role in designing, developing, and maintaining our data pipelines, integrations, and reporting solutions. You will work closely with SAP modules, SAP BDC Data Warehouse, and modern platforms like SAP Datasphere and Databricks to ensure reliable data flow and insightful analytics.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Design, build, and optimize ETL processes to integrate data from SAP modules into SAP BDC Data Warehouse, SAP Datasphere, and Databricks.
 
 </li>
 <li>
 
 Develop and maintain data models that support business intelligence and analytics needs.
 
 </li>
 <li>
 
 Create interactive dashboards and reports using Power BI and SAP Analytics Cloud (SAC).
 
 </li>
 <li>
 
 Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
 
 </li>
 <li>
 
 Ensure data quality, consistency, and governance across all reporting layers.
 
 </li>
 <li>
 
 Implement best practices for data integration, performance tuning, and automation.
 
 </li>
 <li>
 
 Support ad-hoc data analysis and provide actionable insights to stakeholders.
 
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 
 Strong experience with SAP modules and SAP BDC Data Warehouse.
 
 </li>
 <li>
 
 Hands-on expertise in SAP Datasphere and Databricks.
 
 </li>
 <li>
 
 Proficiency in Power BI and SAP Analytics Cloud (SAC) for visualization.
 
 </li>
 <li>
 
 Solid knowledge of SQL for querying and data manipulation.
 
 </li>
 <li>
 
 Experience with Python for data processing, automation, and advanced analytics.
 
 </li>
 <li>
 
 Proven track record in ETL development, data integration, and system interoperability.
 
 </li>
 <li>
 
 Strong analytical and problem-solving skills with attention to detail.
 
 </li>
 <li>
 
 Ability to work collaboratively in a fast-paced environment.
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 
 Experience with cloud-based data platforms (Azure, AWS, or GCP).
 
 </li>
 <li>
 
 Familiarity with data governance frameworks and security best practices.
 
 </li>
 <li>
 
 Knowledge of machine learning basics for advanced analytics is a plus
 
 </li>
 </ul>
</div>

Lincoln Financial

<div>
 
 Alternate Locations:
 
 Omaha, NE (Nebraska); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina); Radnor, PA (Pennsylvania)
 
 
 
 Work Arrangement:
 
 
 
 Hybrid : Employee will work 3 days a week in a Lincoln office
 
 
 
 Relocation assistance:
 
 is not available for this opportunity.
 
 
 
 Requisition #:
 
 75952
 
 
 
 The Role at a Glance
 
 
 
 We are excited to bring on an Analyst, Data Analytics to our Workplace Solutions Data Analytics Management team to support Salesforce reporting for marketing, customer relationship, and sales teams.
 
 
 
 Background Details
 
 
 
 Workplace Solutions Data Analytics Management is a growing team that is focused on the sourcing, development, maintenance, and delivery of data and reporting/analytics solutions to drive our employer and employee benefit and retirement teams.
 
 
 In the Analyst, Data Analytics role you will be a member of an experienced team providing reporting, data, and analytics solutions. You will drive automation and efficiency as you develop reporting solutions that drive business decisions and inform leadership on insights. You will act as a resource to internal/external stakeholders and identify complex data patterns and trends.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Creates and maintains reports within Salesforce for marketing, customer relationship, and sales teams.
 </li>
 <li>
 Develops analytical solutions using data, analytics, and reporting to generate insights for business stakeholders.
 </li>
 <li>
 Partners with business stakeholders and the analytics organization to support value-driven data insights aligned with strategic priorities.
 </li>
 <li>
 Analyzes datasets, variances, and trends in financial and business operations and helps formulate recommendations to support business initiatives and management decisions.
 </li>
 <li>
 Shares knowledge and assists team members and business partners in understanding data analytics and business intelligence concepts and best practices.
 </li>
 <li>
 Supports data integrity within dashboards and reports and assists in developing procedures to improve the quality and accuracy of information from multiple data sources.
 </li>
 <li>
 Maintains an understanding of how data within various systems is used and integrates multiple data elements into usable formats to support decision-making.
 </li>
 <li>
 Assists in identifying and implementing process improvements that enhance data quality and efficiency across the team, department, and/or business unit.
 </li>
 <li>
 Serves as an analytics resource to team members and stakeholders on moderately complex assignments and projects.
 </li>
 <li>
 Designs, builds, and tests dashboards, reports, semantic layers, and metrics by transforming data into meaningful and actionable information.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 
 Must-haves:
 
 
 
 <ul>
 <li>
 4+ years of Salesforce experience
 </li>
 <li>
 Experience building reporting solutions and analytical insights in Salesforce Sales Cloud, Marketing Cloud, Agentforce, and/or Financial Services Cloud
 </li>
 <li>
 Usage of AI tools (e.g. Claude, Copilot, or similar) to assist with data visualization development
 </li>
 <li>
 3-5+ years of experience in a technical role within data and analytics.
 </li>
 <li>
 Demonstrated strong relationship management skills with internal clients (e.g. senior management, peers, and colleagues); proven ability to develop creative and collaborative approaches.
 </li>
 <li>
 Ability to work with data from multiple systems, including both relational databases, data warehouses, and generate insights and knowledge for decision making.
 </li>
 <li>
 Ability to analyze information and evaluate the implications of a course of action or solution.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Analytics, Information Systems, or related field or equivalent work experience.
 
 
 </li>
 </ul>
 
 Nice-to-haves:
 
 
 
 <ul>
 <li>
 Graduate degree in Computer Science, Data Analytics, Information Systems, or related field or equivalent work experience.
 </li>
 <li>
 4+ years of experience in SQL programming (e.g. MSSQL, Oracle, or similar), data architecture design and development, and data modeling.
 </li>
 <li>
 3+ years of experience in Tableau development or similar tools (e.g. Power BI, Qlik, MicroStrategy, or similar)
 </li>
 <li>
 2+ years of experience in statistical analysis including R, Python, or similar language/tools.
 </li>
 <li>
 3+ years of experience in group benefits, retirement plan, or financial services.
 </li>
 <li>
 Demonstrated ability to identify and recommend processes improvements impacting strategic initiatives and customer growth.
 </li>
 <li>
 Ability to find common ground and gain collaboration among senior/executive management, colleagues, and peers; can influence outcomes without directing or commanding.
 
 
 </li>
 </ul>
 Application Deadline
 
 
 Applications for this position will be accepted through June 1, 2026 subject to earlier closure due to applicant volume.
 
 
 
 What&rsquo;s it like to work here?
 
 
 
 At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future.
 
 
 
 What&rsquo;s in it for you:
 
 
 
 <ul>
 <li>
 Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes
 </li>
 <li>
 Leadership development and virtual training opportunities
 </li>
 <li>
 PTO/parental leave
 </li>
 <li>
 Competitive 401K and employee benefits
 </li>
 <li>
 Free financial counseling, health coaching and employee assistance program
 </li>
 <li>
 Tuition assistance program
 </li>
 <li>
 Work arrangements that work for you
 </li>
 <li>
 Effective productivity/technology tools and training
 
 
 </li>
 </ul>
 The pay range for this position is $72,900 - $131,600 with
 
 anticipated pay for new hires between the minimum and midpoint of the range
 
 and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln&rsquo;s total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long-term incentives, sales incentives and Lincoln&rsquo;s standard benefits package.
 
 
 
 About The Company
 
 
 
 Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services.
 
 
 With our 120-year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach.
 
 
 Lincoln Financial Distributors, a broker-dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life &amp; Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice.
 
 
 Lincoln is committed to creating an inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
 
 
 Follow us on Facebook, X, LinkedIn, Instagram, and YouTube. For the latest company news, visit our newsroom.
 
 
 
 Be Aware of Fraudulent Recruiting Activities
 
 
 
 If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.
 
 
 Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. Please contact Lincoln's fraud team at fraudhotline@lfg.com if you encounter a recruiter or see a job opportunity that seems suspicious.
 
 
 
 Additional Information
 
 
 
 This position may be subject to Lincoln&rsquo;s Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln&rsquo;s current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.
 
 
 Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees.
 
 
 Lincoln Financial ("Lincoln" or "the Company") is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling 260-455-2558.
 
 
 This Employer Participates in E-Verify. See the E-Verify notices.
 
 
 Este Empleador Participa en E-Verify. Ver el E-Verify avisos.
</div>

Analyst, Data Analytics

Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>04/03/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>4-5 years
</div></div><div>Industry
<div>Technology
</div></div><div>City
<div>Riyadh
</div></div><div>State/Province
<div>Ar Riyad
</div></div><div>Country
<div>Saudi Arabia
</div></div><div>Zip/Postal Code
<div>11564
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div><div>Job Overview: 
</div><div>
We are looking for a detail-oriented and analytical Data Analytics Engineer with 3+ years of experience in data analysis, reporting, and dashboard development. The ideal candidate should have strong hands-on experience in Power BI, data modeling, SQL, and transforming raw data into meaningful business insights to support decision-making.</div><div></div> 
Key Responsibilities: 
<ul><li>
Develop, maintain, and optimize interactive dashboards and reports in Power BI. 
</li><li>
Gather, analyze, and interpret data from multiple sources to provide actionable insights. 
</li><li>
Design and implement data models, DAX measures, and calculated fields in Power BI. 
</li><li>
Create ETL / data transformation workflows using Power Query and SQL. 
</li><li>
Work closely with business stakeholders to understand reporting requirements and translate them into dashboards. 
</li><li>
Ensure data accuracy, consistency, and integrity across reports and systems. 
</li><li>
Monitor report performance and improve dashboard usability and visualization standards. 
</li><li>
Support ad hoc data analysis requests and generate periodic MIS reports. 
</li><li>
Collaborate with cross-functional teams including IT, business, and operations teams.</li></ul> 
 
<div></div> 
 
<h3 class="jobSectionHeader">Requirements</h3><ul><li>
3+ years of experience in Data Analytics / BI Engineering / Reporting 
</li><li>
Strong expertise in Power BI (Dashboards, DAX, Power Query, Data Modeling) 
</li><li>
Good experience in SQL queries, joins, stored procedures, and data extraction 
</li><li>
Knowledge of Excel (advanced formulas, pivot tables, data analysis) 
</li><li>
Understanding of ETL processes and data warehousing concepts 
</li><li>
Strong analytical and problem-solving skills 
</li><li>
Good communication and stakeholder management skills</li></ul> 
Preferred Skills: 
<ul><li>
Experience with Python / Excel VBA / Tableau is an added advantage 
</li><li>
Exposure to Azure / cloud-based data platforms preferred 
</li><li>
Knowledge of KPI reporting and business intelligence best practices</li></ul></div></div></div>

SPECTRAFORCE

<div>
 
 
 Position Title:
 
 Analyst, Data Analytics
 
 
 
 Work Location:
 
 Irvine, CA (Hybrid)
 
 
 
 Assignment Duration:
 
 12 Months
 
 
 
 
 
 
 Position Summary:
 
 
 
 Perform quantitative analysis using Python (e.g., pandas, NumPy, visualization libraries) to support clinical trial operations such as enrollment, costing, and resourcing, and to develop forecasting and decision-support outputs for key stakeholders (e.g., Clinical Affairs, Regulatory and Medical Affairs, Strategy, Global Supply Chain, Finance).
 
 
 Investigate, assess, and interpret clinical and operational data to support strategic decision-making, including early signal detection related to enrollment trends, protocol adherence, site performance, and data quality, while proposing moderately complex solutions and recommendations.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Perform quantitative analysis using Python (e.g., pandas, NumPy, visualization libraries) to support clinical trial operations such as enrollment, costing, and resourcing, and to develop forecasting and decision-support outputs for key stakeholders (e.g., Clinical Affairs, Regulatory and Medical Affairs, Strategy, Global Supply Chain, Finance).
 
 
 &bull; Investigate, assess, and interpret clinical and operational data to support strategic decision-making, including early signal detection related to enrollment trends, protocol adherence, site performance, and data quality, while proposing moderately complex solutions and recommendations.
 
 
 &bull; Modify, extend, and maintain analysis tools and workflows&mdash;primarily in Python&mdash;by leveraging existing clinical models (e.g., inventory, case management, headcount, trial enrollment, site activations/deactivations) while applying clinical trial domain knowledge.
 
 
 &bull; Organize, analyze, and create reproducible analyses, reports, dashboards, and data extracts to summarize moderately complex challenges across clinical affairs projects, programs, and initiatives.
 
 
 &bull; Apply statistical methods (e.g., descriptive statistics, trend analysis, basic inferential methods) as appropriate to quantify uncertainty, monitor performance, and support interpretation of clinical and operational signals.
 
 
 &bull; Lead portions of clinical analytics projects in collaboration with cross-functional stakeholders (e.g., Clinical Operations, Biostatistics, vendors, and internal analytics partners).
 
 
 &bull; Identify and propose data-driven process improvements related to clinical affairs operations (e.g., screening efficiency, site start-up, physician training, data review workflows).
 
 
 &bull; Other duties as assigned.
 
 
 
 
 
 
 Qualification &amp; Experience:
 
 
 
 &bull; Bachelor's Degree Required
 
 
 &bull; 3 years of previous related experience Required
 
 
 &bull; Experience in a quantitative, analytical, or programming-heavy role Preferred
 
 
 &bull; Experience working in clinical research or clinical trial operations within the medical device industry Preferred
 
 
 &bull; Strong proficiency in Python for data analysis, including developing maintainable scripts and notebooks for clinical and operational datasets
 
 
 &bull; Proven expertise in Excel and PowerPoint and other MS Office Suite applications (Word, Access)
 
 
 &bull; Solid understanding of quantitative and statistical methodologies, with the ability to apply them pragmatically in a clinical operations context
 
 
 &bull; Experience with signal detection, trend monitoring, or anomaly identification in complex datasets preferred
 
 
 &bull; Good written and verbal communication skills and interpersonal relationship skills
 
 
 &bull; Strong problem-solving, organizational, analytical, and critical-thinking skills
 
 
 &bull; Moderate knowledge and understanding of client's policies, procedures, and guidelines relevant to clinical trial data analytics
 
 
 &bull; Strict attention to detail and data quality
 
 
 &bull; Ability to interact professionally with all organizational levels
 
 
 &bull; Ability to manage competing priorities in a fast-paced environment
 
 
 &bull; Ability to work collaboratively in team and cross-functional environments
 
 
 &bull; Ability to build productive internal and external working relationships
 
 
 &bull; Adhere to all company rules and requirements (e.g., Environmental Health &amp; Safety policies) and take appropriate measures to protect people, data, and the environment.
 
</div>

Emerson

<div>
 
 Job Description
 
 
 
 The Emerson T&amp;M Global Sales &amp; Marketing (GSM) Analytics team partners with teams across Sales, Marketing, Web, Services, Commercial Strategy, and Global/Regional Operations to enable data‑driven decision‑making and deliver actionable insights that drive growth. We are seeking an experienced Principal Analytics Consultant to serve as a technical leader, advance our data capabilities, and develop high‑impact commercial analytics solutions. This role directly supports GSM by delivering robust datasets, high‑quality dashboards, and ad‑hoc insights, while partnering closely with key functions including IT, the Data Office, Finance, and Business Units. This individual will play a critical role in ensuring our data infrastructure supports robust analytics capabilities as we modernize our tech stack toward Power BI and Snowflake. The ideal candidate blends strong technical expertise with commercial acumen and communicates clearly with executive and technical audiences.
 
 
 
 In This Role,
 
 
 Your Responsibilities Will Be:
 
 Build effective partnerships with key stakeholders across Global Sales &amp; Marketing, Regional Leadership, Commercial Strategy, Global/Regional Operations, IT, and the Data Office.
 
 
 <ul>
 <li>
 Partner with business leaders and subject matter experts to identify, evaluate, and implement actionable business performance measures globally and regionally
 </li>
 <li>
 Act as a thought leader by proactively proposing analytics approaches, frameworks, and techniques that accelerate commercial insight and growth
 </li>
 <li>
 Translate business questions into analytical frameworks, data requirements, and executive-ready insights and recommendations
 </li>
 <li>
 Leverage modern cloud tools to develop scalable datasets and optimized models that support reporting, analysis, forecasting, and advanced analytics
 </li>
 <li>
 Collaborate with IT, the Data Office, and other internal analytics teams on transformational data modernization project. The scope covers migration to Snowflake &amp; Power BI and will include data model transformation, testing and validation, documentation, and change management.
 </li>
 <li>
 Perform data engineering tasks including data profiling, transformation, modeling, and optimization across a modern enterprise cloud data platform
 </li>
 <li>
 Develop optimized insight solutions; design, develop, test, and maintain dashboards and data products using Power BI, Tableau, and Salesforce CRMA Analytics
 </li>
 <li>
 Apply AI, ML, and generative analytics techniques to enhance workflows and accelerate insight generation
 </li>
 <li>
 Implement data quality checks, validation processes, and documentation standards to ensure trusted, repeatable insights
 </li>
 <li>
 Contribute to governance efforts including metadata, lineage, data standards, and analytics DevOps practices
 </li>
 <li>
 Mentor and coach junior analysts on technical skills, analytical techniques, and stakeholder engagement
 </li>
 <li>
 Establish, refine, and develop best practices for analysis, dashboard development, and data storytelling
 </li>
 <li>
 Ensure all analytics outputs are accurate, reliable, secure, and closely aligned to business objectives
 
 
 </li>
 </ul>
 
 Who You Are:
 
 You persist in accomplishing objectives despite obstacles and setbacks. You build strong formal and informal networks. You stay aligned with your goals and stay productive. You attentively listen to others.
 
 
 
 For This Role, You Will Need:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Mathematics, Statistics, Computer Science, MIS, Business, or related field; advanced degree a plus
 </li>
 <li>
 8+ years of experience in analytics, data engineering, reporting, or business intelligence, ideally in global B2B environments
 </li>
 <li>
 High proficiency in business intelligence &amp; visualization tools such as Power BI, Tableau, and Salesforce CRM Analytics (CRMA), with strong preference for Power BI and experience migrating Tableau assets into Power BI
 </li>
 <li>
 Strong SQL expertise and experience with relational databases; ability to write efficient, production-ready queries
 </li>
 <li>
 Experience using analytical concepts and statistical techniques: hypothesis development, test design, data analysis, and delivering clear recommendations aligned to business outcomes
 </li>
 <li>
 Experience with database and programming tools such as Snowflake, dbt, and Qubole (Hive/Spark/Presto); Python and R are a plus
 </li>
 <li>
 Data modeling experience (star schema, semantic layers, ELT) and familiarity with designing scalable analytical datasets
 </li>
 <li>
 Exposure to modern analytics DevOps practices (Git-based version control, CI/CD pipelines, automated testing) and ability to help govern analytics DevOps direction in partnership with IT and Data Office
 </li>
 <li>
 Experience supporting data platform migration efforts, including testing, validation, and documentation
 </li>
 <li>
 Strong ability to manage multiple priorities, set expectations, and consistently deliver high-quality work under deadlines
 </li>
 <li>
 Data storytelling expertise with ability to explain technical concepts to non-technical audiences
 </li>
 <li>
 Experience uplifting analytics maturity, coaching peers, and contributing to team standards and best practices
 </li>
 <li>
 Demonstrated ability to build effective partnerships with cross-functional stakeholders and act as a thought leader in applying analytics to commercial challenges
 </li>
 <li>
 Legal authorization to work in the US - visa sponsorship will not be provided
 
 
 </li>
 </ul>
 
 Our Culture and Commitment to You:
 
 
 
 At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives&mdash;because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
 
 
 We recognize the importance of employee wellbeing. We prioritize providing flexible, competitive benefits plans to meet you and your family&rsquo;s physical, mental, financial, and social needs. We provide a variety of medical insurance plans, with dental and vision coverage, Employee Assistance Program, 401(k), tuition reimbursement, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.
 
 
 
 About Us
 
 
 
 
 WHY EMERSON
 
 
 
 
 Our Commitment to Our People
 
 
 
 At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration.
 
 
 We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world&rsquo;s most complex problems &mdash; for our customers, our communities, and the planet. You&rsquo;ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor.
 
 
 At Emerson, you&rsquo;ll see firsthand that our people are at the center of everything we do. So, let&rsquo;s go. Let&rsquo;s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let&rsquo;s go, together.
 
 
 
 Work Authorization
 
 
 
 Emerson will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.
 
 
 
 Equal Opportunity Employer
 
 
 
 Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.
 
 
 
 Accessibility Assistance or Accommodation
 
 
 
 If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com .
 
 
 
 About Emerson
 
 
 
 Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.
 
 
 With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.
 
 
 We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you&rsquo;re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you&rsquo;ll find your chance to make a difference with Emerson. Join our team &ndash; let&rsquo;s go!
 
 
 
 No calls or agencies please.
 
</div>

Data Analytics Analyst

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