Senior Data Analyst

About Us:
DailyPay is transforming the way people get paid. As a worktech company and the industry’s leading on demand pay solution, DailyPay uses an award-winning technology platform to help America’s top employers build stronger relationships with their employees. This voluntary employee benefit enables workers everywhere to feel more motivated to work harder and stay longer on the job while supporting their financial well-being outside of the workplace.
DailyPay is headquartered in New York City, with operations throughout the United States as well as in Belfast. For more information, visit DailyPay's Press Center.

The Role:

DailyPay is looking for a Senior Data Analyst to join our growing Data Team! The Senior Data Analyst will utilize various types of data to draw insights and build strategic recommendations to drive business value for the company, while working collaboratively to empower internal teams including Sales, Marketing, Product and Customer Success. This position will also enable client success through supporting the development of customer-facing data products and analytics.

The mission of the Data Team is critical for continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay’s leading role in the early wage access industry -- and the Senior Data Analyst will be instrumental in helping to realize this vision for DailyPay.

If this opportunity excites you, we encourage you to apply even if you do not meet all of the qualifications.

How You Will Make an Impact:

• Be a leader in the company’s analytics efforts by discovering, gathering and deploying insights to empower the success of internal teams

• Drive the prioritization of analytics asks according to business value

• Clearly communicate expectations and deliverables to stakeholders

• Guide the training and development of the analytics team’s strategic problem solving skill set

• Produce, support and maintain data reports, analytics, metrics and dashboards for internal and external use

• Participate in code approvals and PR review process for company-wide analytics engineering efforts

What You Bring to The Team:

• 3+ years SQL experience; strong SQL capability

• 4+ years Analytics and/or Data Science experience

• Proficiency in programming languages such as Python or R, and experience with data analysis tools and libraries

• Strong background in statistical analysis, machine learning algorithms or predictive modeling techniques

• Excellent presentation and communication skills

• Strategic, creative thinker will be highly valued for this role

Nice to Haves:

• Familiarity with BI tools such as Tableau, Sisense, Looker or similar

• Experience with Snowflake, Redshift, and ETL tools like Fivetran or Stitch is a plus

What We Offer:

• Exceptional health, vision, and dental care

• Opportunity for equity ownership

• Life and AD&D, short- and long-term disability

• Employee Assistance Program

• Employee Resource Groups

• Fun company outings and events

• Unlimited PTO

• 401K with company match

DailyPay is committed to fostering an inclusive, equitable culture of belonging, grounded in empathy and respect, which values openness to opinions, awareness of lived experiences, fair treatment and access for all. We strive to build and develop diverse teams to create an organization where innovation thrives, where the full potential of each person is engaged, and their views, beliefs and values are integrated into our ways of working.

We encourage people of all backgrounds to join us on our mission. If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable.

DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.