Lead Data Analyst - Consumer Behavior Analytics - Python/Tableau - Gaming Industry

Looking for candidates having excellent experience in B2C product based company. Open for remote opportunity, candidate must go there for initial 1 month post COVID situation.

Lead Data Analyst:

RESPONSIBILITIES

- Develop and Review all data analytics plans and processes

- Analysis of key performance indicators such as customer acquisition, retention, lifetime value, user cohorts and virtual economy balance

- Create LTV and Revenue Models

- Defining the data acquisition of AB tests and analysis of the gathered AB test data to estimate the effect on key metrics and choose the best features

- Develop models for predicting player behavior

- Source, evaluate and test new analytic channels to improve game

- Answer in-depth analysis questions from the team and generate or oversee detailed weekly performance reports around trends and key metrics specific to goals and present to senior management

- Identify and report actionable insights to internal stakeholders, suggest recommendations and influence the direction of the business by effectively communicating results

- Pitch new ideas to the team and hold in brainstorming sessions

- Mentor, coordinate and evaluate the work results delivered by the data analyst team

- Identify and recommend tools and process improvements in data analysis

- Stay current on customer queries from support and marketing channels

- Work closely with game designers, developers, artists, marketing and support teams to reach a common goal

- Stay current on industry trends including new game genres, game analysis best practices, and emerging technology.

REQUIREMENTS

- 8+ years of experience in a data scientist or analyst role, involving some of the following: data analytics, CRM data analysis, data mining, business intelligence, predictive modeling

- Excellent quantitative skills and deep understanding of statistics

- Experience with AB testing and calculating statistical significance

- Intuitive grasp of data and strong with Excel

- Experience in interpreting data and analytics results to provide actionable insights into user/product behavior and deriving conclusions from those insights

- Experience in using tools like Tableau for creating dashboards, reports and data exploration (strongly preferred)

- Proven ability to work highly independently

- Ability to juggle several projects at once

- Outstanding communication skills-both written and spoken

- MBA - Stats/Finance, M. Stat/M.Sc in a quantitative discipline (Mathematics, Physics, Statistics, Operations Research, Computer Science, Economics)

- Passion for games is a must