senior data analyst

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: Senior Data Analyst (12+ Years Experience)</h1><h2 class="jobSectionHeader">
Role Summary</h2>
We are seeking a highly experienced Senior Data Analyst with 12+ years of expertise in data analysis, reporting, and business intelligence. The role involves translating complex datasets into actionable insights, enabling strategic decision-making, and driving data-driven culture across the organization.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Data Analysis: Analyze large and complex datasets to identify trends, patterns, and anomalies.</li><li>
Reporting &amp; Dashboards: Design, develop, and maintain interactive dashboards and reports using BI tools (Power BI, Tableau).</li><li>
KPI Definition: Define, monitor, and refine KPIs and business metrics aligned with organizational goals.</li><li>
Stakeholder Collaboration: Partner with business stakeholders to gather requirements and deliver tailored analytical solutions.</li><li>
Data Quality: Ensure accuracy, consistency, and integrity of data across multiple systems.</li><li>
Strategic Insights: Translate analytical findings into actionable recommendations for leadership.</li><li>
Documentation: Prepare functional specifications, data dictionaries, and process documentation.</li><li>
Mentorship: Guide junior analysts and contribute to building analytical capabilities within the team.</li></ul><h2 class="jobSectionHeader">
Required Skills</h2><ul><li>
Advanced SQL: Expertise in writing complex queries, stored procedures, and performance optimization.</li><li>
Excel Mastery: Strong proficiency in advanced formulas, pivot tables, macros, and data modeling.</li><li>
BI Tools: Hands-on experience with Power BI, Tableau, or equivalent visualization platforms.</li><li>
Analytical Thinking: Ability to interpret data, identify trends, and provide actionable insights.</li><li>
Visualization Skills: Expertise in designing intuitive and impactful dashboards and reports.</li><li>
Data Governance: Understanding of data quality frameworks, lineage, and compliance standards.</li><li>
Communication: Strong ability to present complex findings to non-technical stakeholders, including senior leadership.</li><li>
Domain Knowledge: Experience working across industries with exposure to finance, operations, or customer analytics.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience with cloud data platforms (Azure, AWS, GCP).</li><li>
Knowledge of Python/R for advanced analytics and automation.</li><li>
Familiarity with machine learning concepts for predictive insights.</li><li>
Proven track record of leading data projects and driving adoption of BI solutions.</li></ul>
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Senior Data Analyst

YConsLab Digital Solutions

Job Title: Senior Data Analyst Join YConsLab Digital Solutions as a Senior Data AnalystAre you a data-driven professional who enjoys transforming complex data into meaningful business insights? At YConsLab Digital Solutions, we&rsquo;re building innovative data platforms that help organizations make smarter, faster decisions.We&rsquo;re looking for a Senior Data Analyst / Data Analytics Specialist who can take ownership of data projects, collaborate with cross-functional teams, and deliver actionable insights that drive real impact. If you thrive in a fast-paced, growth-focused environment, this role offers strong career progression and exposure to high-value projects.Key Responsibilities<ul><li>Analyze large datasets to identify trends, patterns, and business opportunities</li><li>Develop and maintain dashboards and reports using BI tools (Power BI, Tableau, or similar)</li><li>Collaborate with stakeholders to define data requirements and KPIs</li><li>Perform data validation, cleansing, and transformation to ensure data accuracy</li><li>Build predictive models and support data-driven decision-making</li><li>Translate complex data findings into clear, actionable insights for non-technical teams</li><li>Support business strategy through data storytelling and visualization</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Data Analytics, Statistics, Computer Science, or a related field</li><li>4+ years of experience in data analysis or business intelligence roles</li><li>Strong proficiency in SQL and Excel</li><li>Experience with BI tools such as Power BI or Tableau</li><li>Knowledge of Python or R for data analysis is highly preferred</li><li>Strong analytical thinking and problem-solving skills</li><li>Excellent communication and stakeholder management abilities</li></ul>Preferred Qualifications<ul><li>Experience in cloud platforms (AWS, Azure, or Google Cloud)</li><li>Familiarity with data warehousing concepts</li><li>Experience working in consulting, tech, or digital transformation environments</li></ul>About the CompanyYConsLab Digital Solutions is a forward-thinking technology and consulting company specializing in data analytics, digital transformation, and enterprise solutions. We partner with organizations across industries to unlock the full value of their data and drive sustainable growth.Why Work With Us<ul><li>Work on high-impact, real-world data projects</li><li>Collaborative and innovation-driven culture</li><li>Opportunities for professional development and advancement</li><li>Exposure to modern tools, technologies, and global best practices</li></ul>Apply NowIf you're ready to take the next step in your data analytics career, we&rsquo;d love to hear from you. Apply today and be part of a team that turns data into powerful business decisions.Pay: KD1,800.000 - KD2,800.000 per monthWork Location: In person

AL IDHHAR TECHNICAL CONTRACTING

About UsAL IDHHAR TECHNICAL CONTRACTING is a dynamic and fast-growing company specializing in technical contracting solutions. We are committed to innovation, operational excellence, and delivering high-quality services to our clients. As we continue to expand, we are looking for a highly skilled Senior Data Analyst to join our team and help drive data-informed decision-making across the organization.Job OverviewWe are seeking an experienced Senior Data Analyst who will be responsible for transforming complex data into actionable insights. The ideal candidate will have strong analytical skills, a deep understanding of data modeling, and the ability to communicate findings effectively to both technical and non-technical stakeholders.Key Responsibilities<ul><li>Analyze large datasets to identify trends, patterns, and insights that support business decisions</li><li>Design, develop, and maintain dashboards and reports using BI tools</li><li>Collaborate with cross-functional teams to understand data needs and deliver solutions</li><li>Develop and optimize SQL queries and data pipelines</li><li>Ensure data accuracy, integrity, and consistency across systems</li><li>Perform predictive analysis and build forecasting models</li><li>Present findings and recommendations to senior management</li><li>Mentor junior analysts and contribute to team development</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field</li><li>5+ years of experience in data analysis or a similar role</li><li>Strong proficiency in SQL and experience with databases</li><li>Experience with BI tools (e.g., Power BI, Tableau)</li><li>Proficiency in Python or R for data analysis</li><li>Strong analytical thinking and problem-solving skills</li><li>Excellent communication and presentation abilities</li><li>Experience in construction, contracting, or engineering industries is a plus</li></ul>Preferred Qualifications<ul><li>Experience with cloud platforms (e.g., AWS, Azure, or GCP)</li><li>Knowledge of machine learning techniques</li><li>Familiarity with ETL processes and data warehousing</li></ul>What We Offer<ul><li>Competitive salary and benefits package</li><li>Opportunities for professional growth and development</li><li>Collaborative and innovative work environment</li><li>Exposure to impactful and large-scale projects</li></ul>Pay: AED16,000.00 - AED19,000.00 per monthWork Location: In person

Coptic Orphans

<div>
 
 Purpose of the Job
 
 
 
 The Senior Data Analyst plays a critical role in leading advanced data analysis initiatives that uncover meaningful patterns and trends, supporting data-informed decision-making across the organization. This role involves independently sourcing, transforming, and interpreting diverse datasets and translating findings into clear, actionable insights through advanced visualizations and reports tailored for managers and functional leads. By strengthening our data-driven approach, the Senior Data Analyst will play a pivotal role in turning raw information into measurable improvements that support our mission and align with organizational objectives.
 
 
 
 Essential Functions And Responsibilities
 
 
 
 <ul>
 <li>
 Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.
 </li>
 <li>
 Lead the design, implementation, and deployment of predictive and prescriptive models.
 </li>
 <li>
 Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.
 </li>
 <li>
 Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.
 </li>
 <li>
 Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.
 </li>
 <li>
 Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.
 </li>
 <li>
 Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.
 </li>
 <li>
 Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.
 </li>
 <li>
 Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.
 </li>
 <li>
 Provide guidance to junior analysts and contribute to building data literacy across teams.
 </li>
 <li>
 Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.
 
 
 </li>
 </ul>
 
 Required Education, Experience, Knowledge, And Skills
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Information Systems Management or a related field.
 </li>
 <li>
 3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.
 </li>
 <li>
 Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.
 </li>
 <li>
 Demonstrated knowledge of ETL frameworks and data warehousing principles.
 </li>
 <li>
 Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.
 </li>
 <li>
 Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.
 </li>
 <li>
 Proven ability to design, implement, and deploy predictive and prescriptive models.
 </li>
 <li>
 Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.
 </li>
 <li>
 Strong experience with data visualization tools (Power BI, Tableau, or similar).
 </li>
 <li>
 Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.
 </li>
 <li>
 Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.
 </li>
 <li>
 Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.
 </li>
 <li>
 Excellent written and verbal communication skills, with confidence in presenting to directors &amp; managers.
 </li>
 <li>
 Ability to translate complex data into clear, actionable insights for diverse audiences.
 </li>
 <li>
 Collaborative mindset and willingness to share knowledge with team members.
 </li>
 <li>
 Proficient in both written and spoken English.
 </li>
 <li>
 Exceptional analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Ability to manage multiple priorities and deliver high-quality work independently.
 
 
 </li>
 </ul>
 
 Travel And Working Requirements
 
 
 
 <ul>
 <li>
 Limited to a typical office environment, such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
 </li>
 <li>
 Occasional national or international travel may be required.
 </li>
 <li>
 Working out of the official hours and on weekends may be required.
 
 
 </li>
 </ul>
 
 
 Job Posted by ApplicantPro
 
 
</div>

YMCA of Greater New York

<div>Salary: $82,000 - $87,000 Annually 
 
The YMCA of Greater New York is here for all New Yorkers &mdash; to empower youth, improve health, and strengthen community. Founded in 1852, today the Y serves a diverse population of more than half a million New Yorkers who learn, grow, and thrive through programs and services at our 24 branches. Community is the cornerstone of the Y. Together, we connect active, engaged New Yorkers to build stronger communities. 
 
To help fulfill our mission, we cultivate a culture of learning, leading, and collaboration to enhance community impact. Through our talented staff and &ldquo;LEAP&rdquo; career framework (Leadership, Empowerment, Accountability, Personal Growth), we are committed to a people-first approach that fosters trust, inclusion, growth, and development for all. 
 
The YMCA of Greater New York Association Office is seeking a Senior Data Analyst who will support the Research, Evaluation &amp; Strategy (RES) and the Center for Community Impact (CCI) departments with data management and reporting across the YMCA of Greater New York. As an expert in impact measurement and reporting, the Senior Data Analyst plays a critical role in advancing data-informed decision-making across the YMCA of Greater New York. They will lead organizational KPI tracking, oversee data infrastructure, including Tableau and external data integrations, and deliver high-quality insights that drive strategy, operational excellence, and community impact. This role requires developing a deep understanding of YMCA programs, mission, and strategic priorities, and the ability to translate complex data into meaningful, actionable insights for diverse stakeholders. 
 
This work will require excellent analytical skills to support the establishment of baseline metrics, long-term development, and monitoring of impact and accountability measures. The Senior Data Analyst works in an analytical capacity and is required to have a thorough understanding of YMCA of Greater New York&rsquo;s strategic objectives, operational portfolio, and community impact, with a strong emphasis on analytical rigor, accuracy, timeliness, and completion. 
 
Key Responsibilities: 
 
Organizational Performance &amp; KPI Management<ul><li>
Lead the development, tracking, and reporting of organizational and branch-level KPIs to monitor progress toward strategic goals.</li><li>
Manage Strategic Plan KPIs, ensuring alignment with organizational priorities and clear visibility into performance.</li><li>
Develop standardized reporting frameworks to ensure timely, complete, and accurate performance monitoring across departments.</li></ul> 
Annual Reporting &amp; Impact Storytelling<ul><li>
Lead the Annual Statistics process, including data collection, validation, analysis, and enterprise-wide reporting.</li><li>
Produce the YMCA&rsquo;s Annual Community Benefit &amp; Impact reports, synthesizing program, financial, and impact data into a compelling narrative that demonstrates organizational impact across New York City.</li></ul> 
Data Analytics &amp; Insight Generation<ul><li>
Conduct advanced analyses across programmatic, operational, and external datasets to generate actionable insights.</li><li>
Integrate external datasets (e.g., Census and demographic data) with internal YMCA data to provide deeper, community-level insights.</li><li>
Deliver ad hoc analyses with a high standard of rigor, clarity, and timeliness to support executive decision-making.</li></ul> 
Tableau Ecosystem Leadership<ul><li>
Manage and maintain the Tableau environment, including user access, governance, and usage standards.</li><li>
Oversee external consultants supporting Tableau development and maintenance.</li><li>
Lead Tableau workbook creation, dashboard development, and ongoing optimization.</li><li>
Facilitate gathering of user requirements, outlining business needs, and translating them into technical solutions. Executing on design with rigorous quality assurance testing.</li><li>
Design and deliver Tableau training to build organizational data capacity.</li></ul> 
Swim Skill Tracker Management<ul><li>
Support data uploads and troubleshooting for the swim tracker application, including monitoring data integrity and assisting with user feedback.</li><li>
Manage the YMCA Swim Tracker application, including vendor coordination, feature enhancements, and system performance monitoring.</li><li>
Provide analytics on attendance, skill progression, and program outcomes within Swim Tracker.</li><li>
Develop dashboards and reporting tools to enhance understanding and utilization of Swim Tracker data.</li><li>
Partner with technical teams or vendors to improve data capture, reporting, and usability of program-related systems.</li></ul> 
Data Governance &amp; Quality Assurance<ul><li>
Ensure integrity, accuracy, and consistency of data across systems through robust quality assurance processes.</li><li>
Establish and maintain documentation, data definitions, and reporting standards.</li><li>
Promote a culture of accountability and analytical rigor across teams.</li></ul> 
Cross-Functional Leadership &amp; Collaboration<ul><li>
Partner with program, operations, development, and executive teams to align data efforts with organizational priorities.</li><li>
Translate data insights into clear, actionable recommendations for diverse audiences.</li><li>
Build organizational capacity in data literacy and evidence-based decision-making.</li></ul> 
Additional Responsibilities<ul><li>
Be the go-to person for data accuracy, integrity, and visualization across program initiatives.</li><li>
Other activities and duties as required.</li></ul> 
Desired Skills &amp; Experience:<ul><li>
Bachelor&rsquo;s Degree in data analytics, statistics, public policy, or a related field, or equivalent experience.</li><li>
Three (3) &ndash; five (5+) years of experience in data analysis, business intelligence, or program evaluation.</li><li>
Advanced proficiency in Tableau, Excel, and data visualization tools required.</li><li>
Demonstrated experience managing complex datasets and analytical projects.</li><li>
Strong analytical rigor with exceptional attention to detail, accuracy, and completeness.</li><li>
Proven ability to meet deadlines and deliver high-quality work in a fast-paced environment.</li><li>
Excellent communication skills with the ability to translate technical findings for non-technical audiences.</li><li>
Strong understanding of, and commitment to, the YMCA mission and community impact work.</li><li>
Experience integrating external datasets (e.g., Census, public data) is desirable, but not essential.</li><li>
Experience managing data systems or applications is desirable, but not essential.</li><li>
Experience working with nonprofit or community-based organizations is desirable, but not essential.</li><li>
This is an onsite, hybrid role based out of our Manhattan Office.</li></ul> 
Benefits: 
The YMCA of Greater New York offers a variety of benefits to its staff members, including retirement benefits, medical benefits, paid time off, free YMCA membership, and more! Benefit eligibility is determined by an individual&rsquo;s employment status (i.e., full-time or part-time), tenure, and/or the number of hours scheduled to work. Click here for more information. 
 
How to Apply: 
If you would like to be a member of our dynamic team, please complete our online application and submit your r&eacute;sum&eacute; and a thoughtful cover letter that explains your interest in the role and our organization. 
 
If you are a current YMCA employee, please submit your application through the Internal Career Site in Cornerstone.</div>

Nawy Real Estate

<div>Nawy Proptech is seeking a highly motivated and talented Data Analyst to join our dynamic team. As a Data Analyst at Nawy, you will play a key role in leveraging data to drive strategic decisions and improve business performance. You will be responsible for analyzing, and interpreting different datasets to provide actionable insights that inform various departments across the organization. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and the ability to communicate complex findings in a clear and concise manner.<ul>
<li>Collaborate with cross-functional teams to understand business requirements and address data-related challenges.</li>
<li>Prioritize business requirements within and across projects based on business impact.</li>
<li>Understand business needs to gather, analyze, interpret, and communicate data that informs stakeholders at all levels to make data-informed decisions.</li>
<li>Reporting the results back to the relevant members of the business and presenting the story of the data in an easily accessible manner.</li>
<li>Providing ad-hoc analysis as required to aid management making judgements.</li>
<li>Develop and maintain dashboards, reports, and visualizations to track key performance metrics.</li>
<li>Perform advanced data analysis to extract insights, identify trends, and provide actionable recommendations to support business objectives.</li> 
</ul> 
 
Requirements 
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or other related technical field or equivalent work.</li>
<li>Proven experience as a Data Analyst or similar role, 3+ years of experience in a similar position.</li>
<li>Advanced SQL knowledge/experience - complex queries and query optimization.</li>
<li>Experienced with data visualization tools such as: Tableau, Looker or PowerBI.</li>
<li>Hands-on experience with programming languages.</li>
<li>Strong understanding of statistical concepts.</li>
<li>Familiarity with data warehouse development and data modeling.</li>
<li>Highly detailed oriented, must display passion for analytics and data visualization.</li>
<li>Data manipulation skills and experience in identifying numerical trends.</li>
<li>Self driven, highly motivated, fast learner, ambitious and creative.</li></ul></div>

SKIMS

<div>
 
 
 Department:
 
 Data, Insights and Loyalty
 
 
 
 Location:
 
 Los Angeles HQ
 
 
 
 Compensation:
 
 $130,000 - $150,000 / year
 
 
 
 
 Description
 
 
 
 SKIMS is a solutions-oriented brand creating the next generation of underwear, loungewear, shapewear, and essentials. We are setting new standards by delivering technically innovative, comfort-driven products with elevated design for everybody.
 
 
 At the intersection of culture, innovation, and commerce, SKIMS is a global brand redefining modern apparel. Our teams are built on creativity, collaboration, and operational excellence, and we are committed to fostering an inclusive, high-performance environment where ambitious, curious, and values-driven individuals can do the best work of their careers.
 
 
 As we continue to scale globally, our HQ teams play a critical role in shaping strategy, building world-class infrastructure, and driving sustainable growth across markets.
 
 
 We are looking for a Senior Data Analyst based in Los Angeles to join our Data &amp; Analytics team. In this role, you will partner closely with a key business function (areas could include Performance Marketing, Product Planning, Merchandising, Operations, or Production) with the final placement informed by your background and where your expertise will have the greatest impact. You will work as part of a collaborative data team while serving as the analytical point of contact for your stakeholders, translating complex data into clear, actionable insights that drive real decisions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Partner with a dedicated business function as the primary analytics contact, owning analytical deliverables and translating business questions into clear, data-driven recommendations.
 </li>
 <li>
 Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team&rsquo;s capabilities.
 </li>
 <li>
 Apply statistical and predictive modeling techniques to uncover patterns, forecast outcomes, and support decisions around areas such as customer lifetime value, demand planning, and resource allocation.
 </li>
 <li>
 Identify opportunities for optimization, customer segmentation, and targeting across the supported business function by providing stakeholders with actionable insight into customer preferences, behaviors, and trends.
 </li>
 <li>
 Design and execute experiments, including A/B tests, to measure the impact of business initiatives and communicate results and recommendations clearly to stakeholders.
 </li>
 <li>
 Evaluate and validate analytical models using appropriate statistical performance metrics to ensure accuracy and reliability. Develop analytics roadmaps in partnership with business stakeholders, aligning data initiatives to functional goals and translating trend analysis into actionable forecasts.
 </li>
 <li>
 Partner with data engineering and technology teams to define data requirements, ensure data quality, and build robust pipelines that support reliable, scalable analytics across the organization.
 </li>
 <li>
 Create executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI that empower self-service, data-driven decision making.
 </li>
 <li>
 Build strong relationships with business stakeholders, proactively identifying analytical needs, communicating findings in clear and compelling ways, and influencing decisions at the leadership level.
 </li>
 <li>
 Serve as a resource and informal mentor to junior team members, sharing expertise in analytical methods, data best practices, and stakeholder communication to continuously elevate the team&rsquo;s capabilities.
 
 
 </li>
 </ul>
 
 Skills, Knowledge and Expertise
 
 
 
 <ul>
 <li>
 Strong analytical instincts with the technical skills to back them up. You can access, transform, and model data independently and know how to turn ambiguous questions into structured analysis.
 </li>
 <li>
 A natural communicator and business partner. You don&rsquo;t just produce analysis, you influence decisions. You&rsquo;re comfortable presenting to leadership and translating technical findings into clear business narratives.
 </li>
 <li>
 Curious and self-directed. You thrive in a fast-moving environment, can operate with ambiguity, and take ownership from question to recommendation without needing heavy direction.
 </li>
 <li>
 A team builder at heart. You take pride in sharing knowledge, raising the bar for those around you, and contributing to a data culture where good decisions are the norm.
 </li>
 </ul>
 
 Requirements:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Data Science, or a related field and 5+ years of experience in a senior analytics role. Prior experience in the ecommerce or retail industry (e.g., DTC apparel, fashion, or consumer goods) is a plus.
 </li>
 </ul>
 Experience must include:
 <ul>
 <li>
 Accessing, transforming, and modeling large datasets using SQL and Python to surface patterns, trends, and actionable insights, including experience applying predictive and statistical models to business problems.
 </li>
 <li>
 Querying and manipulating large datasets using BI and analytics tools (e.g., Snowflake, SQL, Python, Looker), with strong command of data wrangling, transformation, and exploratory analysis. Designing and measuring experiments, including A/B tests, to evaluate business initiatives.
 </li>
 <li>
 Creating executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI.
 </li>
 <li>
 Leading end-to-end analytics projects with minimal oversight, defining measurement frameworks and translating ambiguous business questions into structured analytical plans.
 
 
 </li>
 </ul>
 
 Benefits, Culture and Perks
 
 
 
 
 Benefits and Culture
 
 <ul>
 <li>
 Up to 100% Company Paid Healthcare (medical, dental, vision)
 </li>
 <li>
 Kind Body Fertility Benefits
 </li>
 <li>
 401(k) savings plan with up to 4% match
 </li>
 <li>
 Unlimited PTO
 </li>
 <li>
 Full Access to LinkedIn learning
 </li>
 <li>
 Employee Discounts
 </li>
 </ul>
 
 Perks (HQ Location)
 
 <ul>
 <li>
 Free weekly catered lunch at HQ &ndash; M/T/W/Th
 </li>
 <li>
 Dog-Friendly office on a Thursday and Friday
 </li>
 <li>
 Free Swag Giveaways
 </li>
 <li>
 Annual Holiday Party
 </li>
 <li>
 Annual Summer Party
 </li>
 <li>
 Invitations to pop-ups and other company events
 </li>
 <li>
 Complimentary daily office snacks and beverages
 </li>
 </ul>
</div>

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