Current Logo

Current

Manager, Data Analytics

Posted 2 Days Ago
Be an Early Applicant
Easy Apply
Hybrid
New York, NY
190K-228K Annually
Senior level
Easy Apply
Hybrid
New York, NY
190K-228K Annually
Senior level
The Manager, Data Analytics will lead a team in driving business growth by leveraging data insights to enhance customer lifecycle experiences and optimize operations.
The summary above was generated by AI
MANAGER, DATA ANALYTICS 

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 looking for a hands-on analytics leader to guide our data and business analytics strategies and manage high-performing teams. This pivotal role involves driving business growth and enhancing the entire customer lifecycle experience. Serving as a key strategic partner to departmental leaders, the Lead/Manager, Data Analytics will leverage data to inform crucial decisions, optimize operations, and pinpoint opportunities for growth and efficiency.

This role will lead a team of talented analysts, working cross-functionally to launch new products, scale existing offerings, and fuel business growth. By deeply understanding customer behavior, you will ensure a seamless user experience and inform strategies that enhance member value.

In this hands-on leadership role, you will enforce functional processes and best practices while driving the development of analytical projects. You will be responsible for reviewing the work of your team, providing structural guidance on complex analyses, and developing talent strategies to ensure ongoing success. Your experience in experimentation frameworks, business intelligence, and deep-dive analytics will be instrumental in shaping the future of financial products at Current.

RESPONSIBILITIES

  • Lead and mentor a team of data analysts, fostering a culture of analytical excellence by reviewing work, structuring complex analyses, and providing actionable feedback.
  • Partner with product managers, business leaders and engineering to design, implement, and analyze experiments.
  • Deliver timely insights and reporting that identify key business performance drivers and uncover untapped growth opportunities for the leadership.
  • Partner with stakeholders across Product, Analytics Engineering, and Engineering to design robust data models and define data requirements.
  • Enforce functional processes, best practices, and data governance to ensure data integrity, accuracy, and consistency across all reporting and analyses.
  • Enable the development of analytics models, segmentation, and personalization strategies to optimize P&L growth and retention.
  • Collaborate with Analytics Engineering to build scalable data pipelines and models
  • Partner with Finance and Business Leads on revenue forecasting, growth projections, and business case validation.
  • Effectively manage team resources and personal bandwidth to prioritize and deliver high-quality analytical projects in a fast-paced environment.

ABOUT YOU

  • 7+ years of experience in data analytics, with 3+ years specifically managing and leading high-performing analytics teams.
  • Strong hands-on proficiency in SQL and Python for data analysis, automation, and statistical inference.
  • Proficient in designing, analyzing, and interpreting A/B and multivariate experiments.
  • Proven ability to uncover revenue and growth opportunities through deep-dive behavioral analytics and customer segmentation.
  • Skilled in developing compelling dashboards and reports to communicate complex insights effectively to non-technical stakeholders.
  • Experience working closely with Product, Marketing, Finance, and Engineering teams to roll out features and track impact.
  • Strong knowledge of statistical significance testing, forecasting methods, and data modeling best practices.
  • Track record of improving conversion and retention through data-driven product strategies.
  • Experience building and enforcing standard operating procedures (SOPs) for analytics teams.

Preferred Skills & Qualifications

  • Experience in fintech, B2C products, or customer-centric tech industries.
  • Familiarity with financial services or credit risk domain and data.
  • Exposure to machine learning modeling workflows (classification, regression).

This role has a base salary range of $190,000 - $228,000. 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

  • Competitive salary 
  • Meaningful equity in the form of stock options 
  • 401(k) plan
  • Discretionary performance bonus program 
  • Biannual performance reviews
  • Medical, Dental and Vision premiums covered at 100% for you and your dependents 
  • Flexible time off and paid holidays 
  • Generous parental leave policy
  • Commuter benefits 
  • Fitness benefits
  • Healthcare and Dependent care FSA benefit 
  • Employee Assistance Programs focused on mental health 
  • Healthcare advocacy program for all employees 
  • Access to mental health apps 
  • Team building activities
  • Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

Top Skills

Python
SQL
HQ

Current New York, New York, USA Office

Our modern, open floor plan office is located in the heart of Chelsea with an abundance of bars and restaurants. We are minutes away from various trains and bus stops for a convenient commute.

Similar Jobs at Current

14 Hours Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
170K-220K Annually
Senior level
170K-220K Annually
Senior level
Fintech • Mobile • Payments • Software • Financial Services • Cryptocurrency
As a Senior Data Scientist, you will develop predictive models, conduct EDA, collaborate cross-functionally, and drive data-driven decisions.
Top Skills: BigQueryDataflowDbtGoogle Cloud PlatformPythonPyTorchScalaScikit-LearnSQLTensorFlowVertex AiXgboost
2 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
270K-330K Annually
Expert/Leader
270K-330K Annually
Expert/Leader
Fintech • Mobile • Payments • Software • Financial Services • Cryptocurrency
Lead the Analytics Engineering team, developing data strategies, managing data warehousing and quality while mentoring a high-performing team. Collaborate across departments to ensure data solutions meet business needs.
Top Skills: AirflowAWSBigQueryDbtGCPLookerPythonSQL
2 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
260K-320K Annually
Senior level
260K-320K Annually
Senior level
Fintech • Mobile • Payments • Software • Financial Services • Cryptocurrency
Lead the analytics function at Current, managing embedded analytics teams, guiding complex analyses, and ensuring data-driven insights inform strategic decisions.
Top Skills: PythonSQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account