data analyst

data engineer

data scientist

financial analyst

associate data analyst

data analytics analyst

Current

<div>
 Data Analyst, Data Analytics
 
 
 New York, NY
 
 
 
 Data Analyst
 
 
 
 Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.
 
 
 
 About The Role
 
 
 
 We are seeking a strong Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large datasets to identify trends, insights, and opportunities that drive business growth.
 </li>
 <li>
 Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions.
 </li>
 <li>
 Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions.
 </li>
 <li>
 Identify new &amp; iterative high-impact opportunities to further scale or improve unit economic efficiency
 </li>
 <li>
 Provide actionable insights to leadership on business performance, customer behavior, and operational trends.
 </li>
 <li>
 Ensure data integrity, accuracy, and governance across multiple data sources and platforms.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 2+ years of experience in data analytics, preferably in fintech, banking, or a technology-driven industry.
 </li>
 <li>
 Strong proficiency in SQL and Python for data analysis and manipulation.
 </li>
 <li>
 Experience with data visualization tools such as Tableau, Looker, or Power BI.
 </li>
 <li>
 Familiarity with data warehousing and transformation tools such as dbt is a plus.
 </li>
 <li>
 Excellent problem-solving skills and the ability to translate complex data into actionable insights.
 </li>
 <li>
 Strong communication skills to effectively collaborate with technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Additional Skills And Qualifications
 
 
 
 <ul>
 <li>
 Experience with Looker or other business intelligence tools is preferred.
 </li>
 <li>
 Exposure to dimensional modeling concepts to power meaningful analytics.
 </li>
 <li>
 Ability to visualize data effectively and communicate insights clearly and concisely.
 </li>
 <li>
 Experience modeling data using dbt.
 </li>
 <li>
 Familiarity with machine learning techniques and predictive analytics is a plus.
 </li>
 <li>
 Experience working with Fintech, banks or a B2C company.
 
 
 </li>
 </ul>
 This role has a base salary range of $130,000.00-$175,000.00 Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Meaningful equity in the form of stock options
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Discretionary performance bonus program
 </li>
 <li>
 Biannual performance reviews
 </li>
 <li>
 Medical, Dental and Vision premiums covered at 100% for you and your dependents
 </li>
 <li>
 Flexible time off and paid holidays
 </li>
 <li>
 Generous parental leave policy
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 Fitness benefits
 </li>
 <li>
 Healthcare and Dependent care FSA benefit
 </li>
 <li>
 Employee Assistance Programs focused on mental health
 </li>
 <li>
 Healthcare advocacy program for all employees
 </li>
 <li>
 Access to mental health apps
 </li>
 <li>
 Team building activities
 </li>
 <li>
 Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches
 </li>
 </ul>
</div>

Data Analyst, Data Analytics

Healthix

<div>
 
 JOB TITLE:
 
 Data Analyst
 
 
 
 REPORTS TO:
 
 Director of Data Strategy and Reporting
 
 
 
 DEPARTMENT:
 
 IT
 
 
 
 HOURS:
 
 40 Hours
 
 
 
 FLSA STATUS:
 
 Exempt
 
 
 
 SALARY:
 
 $90k-125k
 
 
 
 POSITION SUMMARY:
 
 
 
 The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization's operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination - data stores defined and implemented based on system requirements and data consumer requirements.
 
 
 Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning.
 
 
 The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment.
 
 
 
 Requirements
 
 
 
 
 Essential Duties and Responsibilities:
 
 
 
 <ul>
 <li>
 Enhance and streamline data and pipeline architecture to improve data flow and collection
 </li>
 <li>
 Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery
 </li>
 <li>
 Independently address the data requirements of multiple teams, systems, and products
 </li>
 <li>
 Refine or redesign Healthix's data architecture to enable next‑generation products and data capabilities
 </li>
 <li>
 Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare
 </li>
 <li>
 Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence
 </li>
 <li>
 Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders
 </li>
 <li>
 Develop queries, support reporting needs, and tailor reporting solutions to enable data‑driven decision‑making
 </li>
 <li>
 Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‑related problems
 </li>
 <li>
 Provide general reporting and project support across the organization
 </li>
 <li>
 Ensure reporting meets standards for reliability, accuracy, completeness, and compliance
 </li>
 <li>
 Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks
 </li>
 <li>
 Evaluate open‑source and vendor data‑lineage tools and contribute to long‑term data platform architecture planning across IT and Business teams
 </li>
 <li>
 Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset
 
 
 </li>
 </ul>
 
 Supervisory Responsibilities:
 
 
 
 <ul>
 <li>
 This job has no supervisory responsibilities
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred
 </li>
 <li>
 Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases
 </li>
 <li>
 Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases
 </li>
 <li>
 Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements
 </li>
 <li>
 Experience in building and optimizing big data pipelines, architectures, and data sets
 </li>
 <li>
 Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities
 </li>
 <li>
 Experience in developing processes for data transformation, structures, metadata, dependency, and workload management
 </li>
 <li>
 Working knowledge of message queuing, stream processing, and scalable big data stores
 </li>
 <li>
 Proficient in big data tools such as Hadoop, Spark, and Kafka
 </li>
 <li>
 Experience with relational SQL and NoSQL databases
 </li>
 <li>
 Strong programming skills with languages like Python, Java, C++, and Scala
 </li>
 <li>
 Ability to architect end-to-end ETL pipelines
 </li>
 <li>
 Experience with AWS services and BI tools like Tableau
 </li>
 <li>
 Strong quantitative, analytical, process development, facilitation, and organizational skills
 </li>
 <li>
 Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 SALARY:
 
 $90k-125k
 
 
 We're committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.
</div>

Data Analyst

<div>JOB TITLE: Data Analyst
REPORTS TO: Director of Data Strategy and Reporting
DEPARTMENT: IT
HOURS: 40 Hours
FLSA STATUS: Exempt
SALARY: $90k-125k 
POSITION SUMMARY:
The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization&rsquo;s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination &ndash; data stores defined and implemented based on system requirements and data consumer requirements. 
Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning. 
The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment. 
Requirements 
Essential Duties and Responsibilities:<ul><li>
Enhance and streamline data and pipeline architecture to improve data flow and collection.</li><li>
Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery.</li><li>
Independently address the data requirements of multiple teams, systems, and products.</li><li>
Refine or redesign Healthix&rsquo;s data architecture to enable next‑generation products and data capabilities.</li><li>
Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare.</li><li>
Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence.</li><li>
Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders.</li><li>
Develop queries, support reporting needs, and tailor reporting solutions to enable data‑driven decision‑making.</li><li>
Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‑related problems.</li><li>
Provide general reporting and project support across the organization.</li><li>
Ensure reporting meets standards for reliability, accuracy, completeness, and compliance.</li><li>
Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks.</li><li>
Evaluate open‑source and vendor data‑lineage tools and contribute to long‑term data platform architecture planning across IT and Business teams.</li><li>
Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset.</li></ul>
Supervisory Responsibilities:<ul><li>
This job has no supervisory responsibilities.</li></ul>
Qualifications:<ul><li>
5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred.</li><li>
Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases.</li><li>
Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases.</li><li>
Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements.</li><li>
Experience in building and optimizing big data pipelines, architectures, and data sets.</li><li>
Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities.</li><li>
Experience in developing processes for data transformation, structures, metadata, dependency, and workload management.</li><li>
Working knowledge of message queuing, stream processing, and scalable big data stores.</li><li>
Proficient in big data tools such as Hadoop, Spark, and Kafka.</li><li>
Experience with relational SQL and NoSQL databases.</li><li>
Strong programming skills with languages like Python, Java, C++, and Scala.</li><li>
Ability to architect end-to-end ETL pipelines.</li><li>
Experience with AWS services and BI tools like Tableau.</li><li>
Strong quantitative, analytical, process development, facilitation, and organizational skills.</li><li>
Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders.</li></ul> 

Benefits 
SALARY: $90k-125k
We&rsquo;re committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.</div>

Con Edison

<div>Overview
The Strategic Planning organization at Con Edison is seeking a Data Analyst (2H) to serve as the departments lead for planning and scenario forecasting data products. This role is responsible for end-to-end ownership of critical datasets, dashboards, reporting tools, and for partnering with ETS organization to integrate departmental data with enterprise-wide platforms. In this role, you will help manage data used to analyze electrification trends, emerging technologies, and policy impacts that shape long term investment strategies aligned with CLCPA goals and the Companys clean energy transition. You will develop and maintain datasets, dashboards, and analytical tools that provide critical insights to senior leadership and cross functional partners.
The Data Analyst will operate with a high degree of autonomy, defining data requirements, establishing data quality standards, and delivering analytics products that are relied upon by senior leadership and cross functional teams. This role emphasizes data governance, integration, and scalability, ensuring that planning analytics are accurate, well documented, and aligned with enterprise architecture and reporting standards.
The ideal candidate brings strong analytical skills, experience working with large datasets, and proficiency in tools such as SQL, Python, or Power BI. You must be able to translate complex findings into clear, actionable insights. Familiarity with utility planning, energy policy, or electrification modeling is preferred but not required.
Responsibilities
Core Responsibilities<ul><li>
Serve as steward of Strategic Planning data assets, including datasets, metrics, dashboards, and recurring executive reporting. Support scenario modeling, decarbonization pathways, and long-term investment evaluations consistent with CLCPA goals.</li><li>
Lead planning analytics initiatives from concept through production, including prioritization, requirements, delivery, and lifecycle management.</li><li>
Develop advanced dashboards and analytical tools (primarily Power BI) that support planning, forecasting, and performance assessment.</li><li>
Develop, maintain, and enhance datasets, data pipelines, and analytical tools that support long range electric system planning.</li><li>
Produce clear dashboards, reports, and visualizations that translate complex data into actionable insights for senior leadership.</li><li>
Conduct rigorous data validation and quality assurance to ensure accuracy, consistency, and reliability of analytical outputs.</li><li>
Write, optimize, and maintain complex SQL queries and reusable database objects supporting analytics and automation.</li><li>
Present analytical findings to cross functional partners and leadership, clearly communicating implications for strategic decision making.</li><li>
Produce and maintain comprehensive documentation for data lineage, assumptions, refresh schedules, and usage guidelines.</li><li>
Experience in processing, manipulating, and analyzing large data sets to extract and organize information in a clear and comprehensive manner.</li><li>
Perform Emergency/Storm Duty as needed. Fieldwork and traveling on nights, weekends, or holidays required.</li></ul>
Qualifications
Required Education/Experience<ul><li>
Bachelor's Degree and 3 years of related work experience or</li><li>
Master's Degree and 2 years of related work experience</li></ul>
Preferred Education/Experience<ul><li>
Master's Degree and 2 years of related work experience</li></ul>
Relevant Work Experience<ul><li>
Expert proficiency in tools such as MS SQL /PostgreSQL, Python (i.e. complex joins, performance tuning, reusable objects), required.</li><li>
Strong understanding of data governance, metric definition, and version of truth management, required.</li><li>
Advanced Power BI development: data modeling, DAX, performance optimization, enterprise publishing, required.</li><li>
Proven experience owning production analytics products used by leadership. Design, develop and implement database systems based on requirements, required.</li><li>
Experience working in large enterprise or regulated environments, required.</li><li>
Participate in GIS database design and architecture discussions, Evaluate existing database and recommend improvements for performance efficiency, preferred.</li><li>
Work experience with Oracle Analytics Cloud OAC, preferred.</li><li>
Work experience with Power Apps, Power Automate &amp; Informatica, preferred.</li><li>
Exposure to GIS or spatial datasets for Utility, infrastructure, or asset intensive industry experience (planning, forecasting, load analysis, preferred.</li></ul>
Skills and Abilities<ul><li>
Demonstrated analytical skills</li><li>
Demonstrated problem solving skills</li><li>
Demonstrated written communication skills</li><li>
Strong written and verbal communication skills</li><li>
Instills commitment to organizational goals</li><li>
Well organized, detail oriented and flexible to handle multiple assignments</li><li>
Must be proficient in Microsoft Office including Word, Excel, Outlook and PowerPoint, etc.</li><li>
Quickly troubleshoots and resolves problems</li></ul>
Licenses and Certifications<ul><li>
Driver's License Required</li></ul>
Additional Physical Demands<ul><li>
The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.</li><li>
Must be able and willing to travel as needed.</li><li>
Must be able to provide off hours support as required.</li></ul></div>

Data Analyst - Strategic Planning

Solomon Page

<div>
 Our client is seeking a detail-oriented Data Analyst to support enterprise-wide data aggregation, analysis, and reporting initiatives. This role is responsible for transforming complex datasets into meaningful insights and executive-ready presentations that support strategic decision-making. This individual contributor will play a critical role within the Strategy and Operations organization, helping leadership understand trends, volume shifts, operational drivers, and improvement opportunities. The ideal candidate combines strong technical data skills with business storytelling and stakeholder engagement capabilities.
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Access, review, and generate reports from systems including Salesforce, Power BI, and Tableau
 </li>
 <li>
 Develop, maintain, and enhance dashboards for data visualization (Power BI, Tableau, Salesforce reporting)
 </li>
 <li>
 Utilize SQL and Databricks to extract, manipulate, and analyze large datasets
 </li>
 <li>
 Analyze volume shifts, identify trends, and proactively report key drivers
 </li>
 <li>
 Create executive-ready presentations that clearly communicate trends, themes, and business insights
 </li>
 <li>
 Leverage AI and emerging technologies to enhance analysis and improve reporting impact
 </li>
 <li>
 Collaborate cross-functionally with Finance, Revenue Assurance, Marketing, Product, IT, and other departments for deep-dive analysis
 </li>
 <li>
 Support operations metrics, process improvement initiatives, and business cases aimed at reducing escalations
 </li>
 <li>
 Analyze complex policies and operational processes and recommend improvements
 
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 4&ndash;5 years of professional experience in data analytics or related field
 </li>
 <li>
 Strong proficiency in:
 </li>
 <ul>
 <li>
 SQL
 </li>
 <li>
 Databricks
 </li>
 <li>
 Power BI
 </li>
 <li>
 Tableau
 </li>
 <li>
 Salesforce reporting
 </li>
 </ul>
 <li>
 Advanced Microsoft Office skills (Excel, PowerPoint)
 </li>
 <li>
 Experience building dashboards and presenting insights to leadership
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Ability to translate complex data into clear business narratives
 </li>
 <li>
 Excellent communication and stakeholder collaboration skills
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business Administration, Economics, Mathematics, Data Science, or related field (preferred)
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience working in Strategy &amp; Operations or enterprise analytics environments
 </li>
 <li>
 Familiarity with AI tools or automation technologies to enhance analytics workflows
 </li>
 <li>
 Experience supporting process improvement or operational transformation initiatives
 
 
 
 </li>
 </ul>
 If you meet the required qualifications and are interested in this role, please apply today.
 
 
 
 The Solomon Page Distinction
 
 
 
 Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
 
 
 
 About Solomon Page
 
 
 
 Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.
 
 
 Opportunity Awaits.
 
 
</div>

Prizeout

<div>
 
 Why Prizeout
 
 
 
 At Prizeout, we&rsquo;re redefining how people engage with their money through smarter, data-driven rewards. We&rsquo;re looking for curious, analytical builders who love turning big, complex data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership.
 
 
 
 About This Role
 
 
 
 As a Data Analyst, you&rsquo;ll drive insights across the Debit &amp; Credit Card Rewards &amp; CashBack+ Products. You will analyze how credit union members adopt &amp; interact with the various products to help partners and Prizeout track and improve member experience and financial outcomes. You&rsquo;ll build analytical models and client-facing dashboards to increase visibility and help drive adoption. This is a high-impact role for someone who loves turning big, complex data into tangible results for clients and is motivated by improving real people&rsquo;s everyday financial lives.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Develop a deep understanding of the Debit &amp; Credit Card Rewards, CashBack+ (including Pay), and Actions products, including their product and financial performance metrics
 </li>
 <li>
 Partner with clients and client-facing teams to understand their needs and identify opportunities to improve workflows and member experiences
 </li>
 <li>
 Build analytical frameworks and dashboards to track partner member adoption and product performance
 </li>
 <li>
 Define and measure key activation milestones (e.g., deposit health signals, card linking, first gift card purchase, streak activity)
 </li>
 <li>
 Analyze partner adoption funnels and identify drivers of successful product launches
 </li>
 <li>
 Collaborate cross-functionally to define KPIs, test hypotheses, and measure the impact of initiatives (e.g., marketing) on product adoption
 </li>
 <li>
 Support GTM and partner teams with analytics that drive adoption, engagement, and growth
 </li>
 <li>
 Translate complex analyses into clear insights, recommendations, and narratives for senior stakeholders
 
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 Degree in a quantitative field or 1+ years of experience in data analysis, product analytics, or a similar quantitative role (startup or fintech experience is a plus)
 </li>
 <li>
 Strong proficiency in SQL, BI tools (e.g., Tableau or Looker), and Excel
 </li>
 <li>
 Ability to organize ambiguity and clearly communicate the &ldquo;so-what&rdquo;
 </li>
 <li>
 Comfort working with financial data, behavioral signals, and marketplace metrics
 </li>
 <li>
 Desire to influence the product direction and growth strategy through deep user understanding
 
 
 
 </li>
 </ul>
 
 Please Note: Must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.
 
 
 
 The expected salary range for this position is $90,000-100,000, plus an equity component.
 
 
 
 What Is Prizeout?
 
 
 
 Prizeout is an adtech company with a three-sided marketplace that allows consumers to receive earned or allocated funds via digital gift cards. Our commercial partners offer Prizeout as a withdrawal or disbursement method, while brands can digitally advertise and acquire new customers through Prizeout ad campaigns.
 
 
 Prizeout is committed to creating a diverse 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.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Honeycomb Insurance

<div>
 
 Honeycomb
 
 
 
 At Honeycomb, we're not just building technology, we&rsquo;re reshaping the future of insurance.
 
 
 In 2025, Honeycomb was recognized by Dun &amp; Bradstreet as &ldquo;Top 10 Best Start Up Companies to Work For&rdquo; in Israel and named by LinkedIn as &ldquo;Top 10 Startups in Chicago&rdquo;.
 
 
 How did we earn these honors?
 
 
 Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&amp;D center), and with 5 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another.
 
 
 With over $55B in insured assets, Honeycomb operates across 20+ major states, covering 60% of the U.S. population and increasing its coverage.
 
 
 If you&rsquo;re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you&rsquo;ve been looking for.
 
 
 
 About Us
 
 
 
 Honeycomb Insurance is a modern, data-driven insurance company building smarter ways to underwrite and manage risk.
 
 
 
 About The Role
 
 
 
 We are looking for a Financial &amp; Data Analyst to join our Finance organization and help us build a scalable, accurate, and automated data foundation. This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our financial models, carrier reporting, billing systems, and management reporting is clean, reliable, and engineered for growth.
 
 
 If you enjoy owning data pipelines end-to-end, solving messy data problems, and enabling business teams to move beyond spreadsheets, this is an opportunity to make a major impact.
 
 
 
 Location: Chicago or New York
 
 
 
 Reporting to: Chief Financial Officer
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Data Engineering &amp; Pipeline Development
 
 
 
 <ul>
 <li>
 Partner with finance and operations teams to understand their data needs and translate them into reliable data models.
 </li>
 <li>
 Partner with Engineering to validate, QA, and reconcile data from policy admin systems, billing systems, and operational databases.
 </li>
 <li>
 Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or similar tools).
 </li>
 <li>
 Develop data models that make financial and operational data reliable, accessible, and well-structured.
 
 
 </li>
 </ul>
 
 Fronting Carrier &amp; Regulatory Reporting
 
 
 
 <ul>
 <li>
 Own the data preparation for monthly reports to insurance partners.
 </li>
 <li>
 Ensure data completeness, accuracy, and alignment across sources (policy, claims, billing, accounting).
 
 
 </li>
 </ul>
 
 Billing System Data Preparation &amp; Cleansing
 
 
 
 <ul>
 <li>
 Support a billing system migration/implementation by cleaning, reconciling, and validating large datasets.
 </li>
 <li>
 Work closely with Engineering and Finance to align data with billing schemas and business rules.
 
 
 </li>
 </ul>
 
 Analytics Support for FP&amp;A and Accounting
 
 
 
 <ul>
 <li>
 Create data assets enabling self-service dashboards and analytical tools.
 </li>
 <li>
 Monitor the data and ensure strong data integrity.
 </li>
 <li>
 Investigate data anomalies and help Finance understand operational drivers behind performance metrics.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 What You Bring
 
 
 
 <ul>
 <li>
 3+ years of experience as a Data Engineer, Analytics Engineer, BI Engineer, or similar role.
 </li>
 <li>
 Strong SQL and Python skills and experience working with relational databases.
 </li>
 <li>
 Experience with a cloud data warehouse &mdash; BigQuery preferred
 </li>
 <li>
 Experience building ETL/ELT pipelines (e.g., dbt, Airflow, Fivetran, custom pipelines).
 </li>
 <li>
 Comfort working with messy data, performing cleansing, reconciliation, and QA.
 </li>
 <li>
 Analytical mindset with strong attention to detail
 </li>
 <li>
 Ability to communicate findings clearly to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience in insurance, fintech, or financial services.
 </li>
 <li>
 Experience supporting data-driven processes in Finance, FP&amp;A, Accounting, or similar business functions.
 </li>
 <li>
 Familiarity with financial systems such as ERPs or billing systems.
 </li>
 <li>
 Experience with BI tools like Looker, Power BI and Tableau.
 </li>
 <li>
 Experience leveraging AI to generate SQL and Python scripts.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 You&rsquo;re a builder who enjoys creating structure in ambiguity.
 </li>
 <li>
 You&rsquo;re the type who spots data issues before anyone else does &mdash; then digs until you find the root cause.
 </li>
 <li>
 You love empowering non-technical teams with accurate, reliable data.
 </li>
 <li>
 You thrive in cross-functional work between Finance, Accounting, and Engineering.
 </li>
 <li>
 This role is open to candidates based in New York or Chicago, IL
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary: $120,000-$170,000
 </li>
 <li>
 ISO stock options
 </li>
 <li>
 Medical, dental, and vision coverage for you and your dependents
 </li>
 <li>
 HSA with company contributions
 </li>
 <li>
 401(k) (non-matching)
 </li>
 <li>
 Flexible time off
 </li>
 <li>
 10 company-paid holidays
 </li>
 <li>
 Paid family leave
 </li>
 </ul>
</div>

Explore 921+ Data analytics analyst in New York this March. Find roles across top companies and apply now to boost your career.

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