Mid-level Data Analyst
About The Position
FocusKPI is looking for a Mid-level Data Analyst to join our client's growing team to spearhead analyses and provide meaningful insights into our users and product. The Data Analyst will leverage data on our users to build dashboards, answer key business questions, and tell compelling stories. This person will conduct in-depth analyses of our data, report on key metrics, and provide recommendations that will have a direct impact on shaping future product development and company initiatives. The ideal candidate is an intelligent, sharp, detail-oriented, and highly quantitative individual who loves working with and analyzing data. Work Location: Remote - anywhere in the US Duration: 6-month contract with potential for extension depending on your performance and project needs in the future Pay Range: $50+/hr
Requirements
- Master's degree in computer science or any related field is required; Bachelor’s degree in any field that requires logical, creative thinking, STEM majors
- Minimum 4+ years of industry quantitative analysis experience to build data-driven products for solving business problems
- Experience with SQL and Python
- Experience with a data visualization tool like Tableau
- Familiarity with Product Analytics - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, and funnel analysis
- Experience collaborating with and understanding the needs of stakeholders from a variety of business functions, including product, marketing, finance, and so on
- Experience in handling large-scale data with efficiency
- Strong analytical and problem-solving skills
- Experience in Financial Services or FinTech preferred
- Previous work on evaluating product iterations or experiments
Responsibilities
- Be constantly curious and continue to pursue in-depth explorations of our datasets
- Work with Product Managers and Engineers to uncover new business opportunities and better understand the levers of the business
- Support new product launches, A/B testing, ramp-up recommendations, and root cause investigation
- Leverage new techniques to investigate our data and incorporate external information to boost our knowledge of this market
- Communicate complicated data findings clearly and concisely to our multi-disciplined teams
- Collaborate with stakeholders, including product, marketing, finance, etc., on initiatives that improve our company-level KPIs and match our business priorities
- Ad-hoc analysis to address urgent high-impact analysis for business stakeholders
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What This Job Offers
Career Level
Mid Level
