Data Analytics Manager / Sr Data Analytics Manager at Upgrade | Powderkeg

Location: Phoenix

Employment Type: Full-Time

Team: Analytics

Upgrade is a fintech unicorn founded in 2017. We are the fastest-growing company in the Americas (Financial Times). In the last five years, over 15 million people have applied for an Upgrade card or loan, and we have delivered over $10 billion in affordable and responsible credit. Our innovative Upgrade Card is the fastest growing credit card in America (Nilson Report). Combining the flexibility of a credit card with the low cost of an installment loan helps us redefine banking.

Upgrade has been named a “Best Place to Work in the Bay Area” three years in a row, one of the “Top Companies to work for in Arizona”, and we have received awards for being a best company for Diversity, Women, Culture, and Veterans.

We are looking for new team members who get excited about designing and delivering new and better products to join a team of 1300 talented and passionate professionals. Come join us if you like to tackle big problems and make a meaningful difference in people's lives.

Are you a data analytics master that thrives on driving data-based decisions through exploring data and extracting insights in the "1s and 0s", modeling patterns, and predicting what's going to happen next? Are you attracted to an entrepreneurial culture and energized by high growth? Do you enjoy mentoring and growing a team of high-performing data analysts/scientists and exceeding the expectations of internal stakeholders through leveraging advanced statistical modeling methods? If so, read on…

Upgrade Inc., a fast-growing fintech "unicorn", is looking for a "rockstar" Data Analytics Manager to lead and grow our Analytical Insights & Decision Optimization team. This key leadership role will support the build-out of the team and drive the increase in organizational value of the Phoenix Service Center through better "influencing" decision making (Analytics), and "optimizing" decision making (Predicting).

We have large data sets that need to be analyzed to better understand our business and to identify new opportunities for efficiencies and improvement. You and your team will be responsible for setting up an operational DataMart, automating business-critical reporting, data mining and exploration, data modeling, and communicating critical insights to improve decision making. This team will also work with business teams across the Phoenix Service Center to support things like capacity planning, workload forecasting, workforce analytics, business impact analytics, call center analytics, and customer analytics. To be successful in this role, you must be detail-oriented, creative, innovative, and enjoy a fast-paced challenging environment. Experience in data engineering, master data management, advanced data analytics, and visualization, and statistical analysis is a must.

Primary Responsibilities

  • Hire and develop a team of data analysts, data scientists and data engineers
  • Build strong and effective relationships with internal business leaders and SMEs
  • Develop knowledge about business processes & systems and become data SME
  • Organize and drive successful completion of analytics projects related things like capacity planning, workload forecasting, workforce analytics, business impact analytics, call center analytics, and customer analytics
  • Oversee in-depth analyses and the creation of statistical models to identify trends and key drivers that inform important decisions across the business
  • Oversee development of best practices for examining, interpreting, and communicating results of analytical initiatives to stakeholders in operations
  • Oversee development of best practices to improve the overall quality of data being ingested to maximize reliability of models / insights
  • Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization, and communication deliverables.
  • Collaborate with the corporate Data Architect and oversee the development of an operational DataMart
  • Partner with the Performance Measurement and Reporting team to ensure high-quality data feeds and automated extraction practices are being deployed
  • Identify opportunities to automate manual processes and improve efficiencies

Skills, Experience & Qualifications

  • Comfortable with ambiguity, developing creative solutions, and delivering against aggressive timelines
  • Bachelor's degree required (Computer Science or related major (i.e. Computer Science, Information Systems, etc.,) preferred)
  • Advanced degree preferred (Masters in Data Analytics, PHD etc.)
  • Minimum 6+ years relevant professional experience required
  • Minimum 3+ years of relevant work experience within data science-related fields required
  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
  • Working knowledge of complex data models, BI methodologies, data architecture principals (MDM, Metadata, API Integration, Database Design etc.)
  • Experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
  • Experience in financial services is preferred
  • Able to write SQL, minimum 2+ years of experience in SQL or alternative coding language
  • Strong leadership and management capabilities
  • Strong analytical and problem-solving skills
  • Strong interpersonal communication and active listening skills
  • Proficiency with the Microsoft Office Suite, highly proficient in MS Excel & PowerPoint

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Summary
  • Job Title
    Data Analytics Manager / Sr Data Analytics Manager
  • Company
  • Location
    San Francisco, CA
  • Employment Type
    Full time
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