product data analyst

<div></div><div><div><div><h2 class="jobSectionHeader"><b>Become our next FutureStarter</b></h2><p>
Are you ready to make an impact? ZF is looking for talented individuals to join our team. As a FutureStarter, you&rsquo;ll have the opportunity to shape the future of mobility. Join us and be part of something extraordinary!</p>
</div></div><div><div><div><div><h1 class="jobSectionHeader"><b>Product Data Analyst- Data Engineering
</b></h1></div></div></div></div><div><div><div><div>Country/Region: IN
</div></div></div></div><div><div><div><div>Location:
Pune, MH, IN, 410501
</div></div></div></div><div><div><div><div><p>Req ID 82675 | Pune, India, ZF India Pvt. Ltd.</p><br>
<p></p>
<div><div><div><h2 class="jobSectionHeader"><b>
Job Description</b></h2>
</div><div><p><b>
About the team</b></p>
<p>
ZF Aftermarket is a EUR 3 billion powerhouse with a combined team of about 8,000 employees. We have a total of 120 locations in 40 countries worldwide &ndash; including 90 logistics centers &ndash; and more than 650 service partners with a strong presence in both automotive and industrial markets. This makes us the second largest aftermarket organization worldwide.</p><br>
<p></p>
<p><b>
What you can look forward to as Product Data Analyst- Data Engineering:</b></p>
<ul>
<li><b>End-to-End Project Ownership</b>: Drive and manage analytics initiatives from concept to deployment, ensuring high-quality, timely deliverables with minimal supervision.</li>
<li><b>Engineering Best Practices</b>: Apply structured software development principles, including version control (e.g., Git), CI/CD, automated testing, and peer code reviews to ensure robust, scalable, and maintainable solutions.</li>
<li><b>Data Architecture &amp; Pipelines</b>: Design, build, and optimize scalable and reliable data models and pipelines in Databricks, Azure Cloud, and other big data environments to support advanced analytics and AI use cases.</li>
<li><b>Data Modeling &amp; Performance Optimization</b>: Develop and maintain high-performance data models tailored for analytical workloads and business intelligence use.</li>
<li><b>Business Partnership</b>: Serve as a key liaison between technical teams and business stakeholders to understand needs, validate outcomes, and ensure solutions are actionable and business-ready.</li>
<li><b>Data Visualization</b>: Create insightful and user-centric dashboards using tools like Power BI, Shiny for Python/R, or similar platforms.</li></ul><br>
<p></p>
<p><b>
Your profile as Product Data Analyst- Data Engineering</b></p>
<ul>
<li>5-8 Years of experience in Data Engineering/ Advanced analytics roles.</li>
<li>Hands-on experience with Databricks, Azure, and familiarity with Big Data platforms (e.g., GCP, Cloudera).</li>
<li>Prior experience with Data Bricks, Python, Pysprak, TecDoc or product data in the automotive domain</li>
<li>Industry experience in agile development and DevOps Databases (ex. Oracle, AWS S3)</li>
<li>Proficiency with data visualization tools such as Power BI, Shiny, or equivalent.</li></ul><br>
<p></p>
<p><b>
Why you should choose ZF in India</b></p>
<ul>
<li><b>Innovative Environment</b>: ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth.</li>
<li><b>Diverse and Inclusive Culture</b>: ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support.</li>
<li><b>Career Development</b>: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement.</li>
<li><b>Global Presence</b>: As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide.</li>
<li><b>Sustainability Focus</b>: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint.</li>
<li><b>Employee Well-being:</b> ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance.</li></ul></div></div></div><br>
<p></p>
<p>
Be part of our ZF team as Product Data Analyst- Data Engineering and apply now!</p>
<p>
Contact</p>
<p>
Veerabrahmam Darukumalli</p>
<p></p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>What does DEI (Diversity, Equity, Inclusion) mean for ZF as a company?</b></h2><p>
At ZF, we continuously strive to build and maintain a culture where inclusiveness is lived and diversity is valued. We actively seek ways to remove barriers so that all our employees can rise to their full potential. We aim to embed this vision in our legacy through how we operate and build our products as we shape the future of mobility.</p>
</div></div><div><div><p>Find out how we work at ZF:</p><br>
</div></div><div></div><p><br>
<b>Job Segment: </b>R&amp;D Engineer, Cloud, Testing, R&amp;D, Business Intelligence, Engineering, Technology, Research</p></div>

Product Data Analyst- Data Engineering

Kohlberg Kravis Roberts & Co.

<div><div><p><b>COMPANY OVERVIEW</b></p>
<p>
KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR&rsquo;s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR&rsquo;s investments may include the activities of its sponsored funds and insurance subsidiaries.</p></div><div><p><b>
TEAM OVERVIEW</b></p>
<p>
KKR&rsquo;s Technology team is responsible for building and supporting the firm&rsquo;s technological foundation. Technology is regarded as a key business enabler at KKR and is an important accelerator for global scale and business process transformation. We drive a culture of excellence through efficient workflow automation, the democratization of data, and the strategic implementation of emerging technologies to consistently serve our business needs.</p>
<p><b>
POSITION SUMMARY</b></p>
<p>
The Senior Data Analyst will serve as the expert for Marketing data, ensuring that marketing data is sourced, engineered, structured, modeled, integrated, and analytics ready. This role focuses on building, maintaining, and validating marketing data assets across systems like Marketo, Salesforce, Snowflake, and web platforms. This individual is expected to understand Marketing data across KKR and work closely with digital, and marketing stakeholders to unify data sources, engineer data, optimize data flows, and enable meaningful insights that drive marketing performance and ROI.</p>
<p><b>
RESPONSIBILITIES</b></p>
<p><b>
Data Management and Integration</b></p>
<ul>
<li>Design, maintain, and enhance data pipelines connecting Marketo, Salesforce, web analytics, and other marketing systems to Snowflake or centralized data environments.</li>
<li>Collaborate across business teams to help translate data requirements to (data) engineering specs, validate ETL logic, and ensure marketing data is structured and modeled for analytics.</li>
<li>Create and maintain data dictionaries, source-to-target mappings, and documentation for marketing datasets.</li>
<li>Identify correlations between various data sets/sources to design the analytics Marketing data model for KKR</li>
<li>Proactively identify and resolve data issues; establish data validation checks and reconciliation processes.</li>
</ul>
<p><b>Data Analysis and Modeling</b></p>
<ul>
<li>Query, join, and transform large datasets using SQL (and optionally Python/R) to enable campaign, channel, and funnel analysis.</li>
<li>Develop and maintain key marketing metrics such as conversion rate, engagement rate, ROI, and lead-to-opportunity ratios.</li>
<li>Support creation of multi-touch attribution and funnel models to measure campaign influence across channels.</li>
<li>Analyze campaign data to uncover trends, identify performance drivers, and inform targeting and segmentation strategies.</li>
<li>Support forecasting of marketing performance and lead flow using historical data and predictive indicators.</li>
</ul>
<p><b>Partnership and Collaboration</b></p>
<ul>
<li>Serve as the data SME for Marketing Analytics, partnering with the Marketing team to translate business questions into data requirements.</li>
<li>Collaborate cross-functionally with the Data Hub, Digital Analytics, and Marketing Operations teams to streamline data availability and integrity.</li>
<li>Act as a liaison between marketing and technical teams to ensure consistent metric definitions and business logic.</li>
</ul>
<p><b>Enablement and Reporting Support</b></p>
<ul>
<li>Enable reporting automation and data accessibility by preparing well-structured tables and views.</li>
<li>Partner with analysts and stakeholders to interpret results and guide data-driven marketing strategies.</li>
</ul>
<p>#LI-ONSITE</p></div><div><div><div><div><p>
This is the expected annual base salary range for this Boston-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.</p></div></div><p>
Base Salary Range</p><p>
$90,000 - $125,000 USD</p></div></div><div><p>
KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.</p></div></div>

Senior Product Operations Data Analyst for Marketing New

Uber

<div><b>About the Role</b>
<br>
<br>
The Core Analytics &amp; Science Team (CAS) is Uber's primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Uber's global Mobility and Delivery products. We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities.
- What the Candidate Will Do -<br>
<br>
<br>
<ul><li>Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business
</li><li>Design experiments and interpret the results to draw detailed and impactful conclusions.
</li><li>Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing
</li><li>Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
</li><li>Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.
</li></ul>- Basic Qualifications -<br>
<br>
<br>
<ul><li>Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
</li><li>4+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions
</li><li>Excellent understanding of statistical principles backed by an academic foundation
</li><li>Advanced SQL expertise
</li><li>Experience with either Python or R for data analysis
</li><li>Significant experience in setting up and evaluation of complex experiments
</li><li>Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways.
</li><li>Experience with Excel and some dashboarding/data visualisation (i.e. Tableau, Mixpanel, Looker, or similar
</li></ul>- Preferred Qualifications -<br>
<br>
<br>
<ul><li>Proven aptitude toward Data Storytelling and Root Cause Analysis using data
</li><li>Ability to learn and adapt to new methodologies for data collection and analysis
</li><li>Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail
</li><li>Ability to work in a self-guided manner
</li><li>Ability to mentor, coach and develop junior team members
</li><li>Superb communication and organisation skills</li></ul></div>

Data Scientist II, Tech

Fundraise Up

<div>
 <strong>
  Highlights:
  <br/>
  <br/>
 </strong>
 <strong>
  Role:
 </strong>
 Product Analyst
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Remote (CET hours preferred)
 <br/>
 <br/>
 <strong>
  Compensation:
 </strong>
 $3,200 - $4,300 + stock options
 <br/>
 <br/>
 <strong>
  Language:
 </strong>
 Russian-speaking team; Strong English required (B2)
 <br/>
 <br/>
 <strong>
  About Fundraise Up
  <br/>
  <br/>
 </strong>
 We&rsquo;re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.
 <br/>
 <br/>
 Our platform is trusted by many of the world&rsquo;s leading nonprofits, including UNICEF, the Alzheimer&rsquo;s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we&rsquo;re recognized not just for our impact - but for the quality of the product we deliver.
 <br/>
 <br/>
 <strong>
  A Truly Global Product
  <br/>
  <br/>
 </strong>
 We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.
 <br/>
 <br/>
 We&rsquo;re building a
 <strong>
  large and complex product ecosystem
 </strong>
 that serves nonprofits, donors, and partners around the world. The platform includes a modern
 <strong>
  checkout experience and customizable widgets
 </strong>
 (each a standalone SPA),
 <strong>
  donor, organization, and partner portals
 </strong>
 ,
 <strong>
  admin tools
 </strong>
 , and several internal apps.
 <br/>
 <br/>
 Our backend is powered by
 <strong>
  Node.js
 </strong>
 (Koa, NestJS) and
 <strong>
  MongoDB
 </strong>
 . The frontend stack includes
 <strong>
  Webpack, Vue.js, and React
 </strong>
 , with nearly all code written in
 <strong>
  TypeScript
 </strong>
 . For high-throughput messaging and background processing, we use
 <strong>
  Kafka
 </strong>
 (for millions of events) and
 <strong>
  Bull (Redis)
 </strong>
 . Analytics data is stored in
 <strong>
  ClickHouse
 </strong>
 , and we use
 <strong>
  Elasticsearch
 </strong>
 for search.
 <br/>
 <br/>
 <strong>
  The Team
  <br/>
  <br/>
 </strong>
 We are a distributed team of 120+ product professionals, including 35+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.
 <br/>
 <br/>
 Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. Biweekly engineering forums give space to share learnings and celebrate technical achievements. You&rsquo;ll be joining a team where quality, mentorship, and mutual respect come first.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle&mdash;from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
  </li>
  <li>
   Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
  </li>
  <li>
   Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
  </li>
  <li>
   Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of professional experience as a Data Analyst or Product Analyst.
  </li>
  <li>
   A strong foundation in mathematical statistics and probability theory.
  </li>
  <li>
   Advanced proficiency in SQL.
  </li>
  <li>
   Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
  </li>
  <li>
   Hands-on experience with BI tools (Tableau, Power BI, Metabase).
  </li>
  <li>
   Strong written English for clear documentation and communication.
  </li>
  <li>
   A proactive, detail-oriented mindset with a passion for solving complex problems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Tech Stack
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Languages &amp; Libraries: Python
  </li>
  <li>
   Databases: ClickHouse, MongoDB, PostgreSQL
  </li>
  <li>
   BI &amp; Visualization: Tableau, Grafana
  </li>
  <li>
   Orchestration: Airflow
  </li>
  <li>
   Version Control: Git
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus points
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Curiosity and a hypothesis-driven mindset
  </li>
  <li>
   Ability to communicate complex analytical concepts to non-technical audiences
  </li>
  <li>
   Detail-oriented with a strong sense of ownership
  </li>
  <li>
   Comfort working in fast-paced, data-rich environments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why work with us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A strong, collaborative product team that owns what it builds
  </li>
  <li>
   Clear product vision and access to real customer feedback from global nonprofit leaders
  </li>
  <li>
   Flat structure: no politics, just great work with great people
  </li>
  <li>
   Transparent company culture-we share how we&rsquo;re growing, where revenue comes from, and what&rsquo;s next
  </li>
  <li>
   Long-term focus: we offer equity options and value sustained, meaningful contribution
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   31 days off
  </li>
  <li>
   100% paid telemedicine plan
  </li>
  <li>
   Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
  </li>
  <li>
   English learning courses
  </li>
  <li>
   Relevant professional education
  </li>
  <li>
   Gym or swimming pool
  </li>
  <li>
   Co-working
  </li>
  <li>
   Remote working
  </li>
  <li>
   Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
  </li>
 </ul>
</div>


Product Analyst, DX

Tabby

Product Analyst, Loyalty Department: B2C Financial Services, Analytics Employment Type: Full Time Location: Remote Reporting To: Jacek Korpikiewicz Description Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money. The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees Product Analyst, Loyalty Department: B2C Financial Services, Analytics Employment Type: Full Time Location: Remote Reporting To: Jacek Korpikiewicz Description Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money. The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $3.3 billion. About the Role We're seeking a Product Analyst to join Tabby's Loyalty team, driving how we engage, retain, and grow our customer base. You'll analyze user behavior, define key loyalty metrics, and make insights accessible across the organization. Your work will include designing data structures, ensuring data quality, and creating dashboards and visualizations that empower teams to act fast. What you'll be doing Build and refine loyalty metrics to identify growth opportunities and inform decision-making. Develop dashboards, data structures, data quality checks, and other solutions to make loyalty insights widely accessible. Translate business requirements and questions into clear analytical frameworks, generating hypotheses and actionable insights. Partner closely with product, marketing, and engineering teams to collaborate on strategic direction and ad hoc requests. Design, execute, and analyze A/B and multivariate experiments to optimize loyalty features, offers, and user journeys. Create clear and engaging data visualizations and reports that make complex insights easy to understand. What you'll need Minimum of 3 years of work experience as a data/product analyst, ideally in consumer-facing digital products. Proven expertise in designing and running A/B tests, including sample size estimation, statistical methods, and interpreting results. Proficiency in SQL and relational databases. Proficiency in data visualization tools, particularly Tableau. Experience in planning data structures for new products and features. Strong knowledge of Python (Pandas, Numpy, Statsmodels, Matplotlib, Scipy, etc.) Strong quantitative skills and a structured approach to problem-solving. Ability to analyze issues, identify root causes, and recommend solutions. Experience in loyalty programs, CRM analytics, or customer retention strategies would be an advantage. Background in behavioral analytics and/or user segmentation is a plus. Excellent verbal and written communication skills, with the ability to interact with business and product teams. Job Benefits Relocation and Employment We offer remote work from anywhere in the world (our schedule is based on Dubai time though) and are happy to work out an individual relocation plan for you. Our employees have the opportunity to choose a country for registration: at the moment those are Armenia, Georgia, Serbia, Portugal, Spain, UAE. What you can expect We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company's employee stock options program.

Product Analyst, Loyalty

Net2Source Inc.

<p><b>Duties And Responsibilities</b></p>
<ul>
<li>Write clear user stories in order to communicate business requirements to the team.</li>
<li>Analyze customer data, feedback and actions to improve customer acquisition and retention</li>
<li>Analyze data to identify trends, patterns, and insights related to product performance.</li>
<li>Collaborate with cross-functional teams to gather requirements and understand stakeholder needs.</li>
<li>Assist in maintaining backlogs and handling new requests.</li>
<li>Conduct product research and analysis on market trends and competitor products.</li>
<li>Support in onboarding flow and enterprise process management.</li>
</ul>
<p><b>Qualifications And Requirements</b></p>
<ul>
<li>Strong technical knowledge and understanding of business .</li>
<li>Proven track record of delivering data driven solutions with a customer-first approach.</li>
<li>English and Arabic Speaker.</li>
<li>Previous working experience as a Business Analyst or Product Analyst for 3 year(s).</li>
<li>In-depth knowledge of Agile (Scrum) process and principles .</li>
<li>Top communication, presentation and leadership skills.</li>
<li>Excellent organizational and time management skills.</li>
<li>Strong problem solving skills.</li>
</ul>
<p><b>Skills</b></p>
<p>Requirement Gathering: Skilled at gathering and interpreting requirements from stakeholders to support productdevelopment.</p>
<p>Collaboration: Ability to collaborate effectively with cross-functional teams to ensure alignment on product goalsand strategies.</p>
<p>Problem-Solving: Capable of identifying product-related challenges and proposing effective solutions.</p>
<p>Attention to Detail: Attentive to details in data analysis and product requirements to ensure accuracy and quality.</p>
<p>Time Management: Ability to manage time efficiently to meet project deadlines and deliverables.</p>
<p>Adaptability: Willingness to adapt to changing project requirements and priorities.</p>
<p>Communication: Excellent communication skills to convey complex information clearly and effectively tostakeholders.</p>
<p><b>What We Offer</b></p>
<p>A globally distributed team, with a diverse team and inclusive culture.</p>
<p>The opportunity to impact the financial aspect of millions of people in the region.</p>
<p>Collaborative and feedback-driven culture.</p>
<p>Opportunities for professional growth and development.</p>
<p>The chance to be part of an innovative company at the cutting edge of the crypto industry.</p>

Product Analyst

tabby

<div>We re seeking a<b> Product Analyst</b> to join Tabby s Loyalty team, driving how we engage, retain, and grow our customer base. You ll analyze user behavior, define key loyalty metrics, and make insights accessible across the organization.</div> <ul> <li> Build and refine loyalty metrics to identify growth opportunities and inform decision-making.</li> <li> Develop dashboards, data structures, data quality checks, and other solutions to make loyalty insights widely accessible.</li> <li> Translate business requirements and questions into clear analytical frameworks, generating hypotheses and actionable insights.</li> <li> Partner closely with product, marketing, and engineering teams to collaborate on strategic direction and ad hoc requests.</li> <li> Design, execute, and analyze A/B and multivariate experiments to optimize loyalty features, offers, and user journeys.</li> <li> Create clear and engaging data visualizations and reports that make complex insights easy to understand.</li> </ul>

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