Wenger & Watson | Analytics Consultant

8 hours ago


india Wenger & Watson Full time

Technical and domain expertise:

Expertise in SQL & Python/R with Statistical techniques and reporting

Role:

The team member is expected to work directly with the client in a fast-paced working environment to address their day-to-day analytics needs.

The indicative areas of work could be:

• User Analytics - Understanding user behavior in the app, feature adoption, understanding

retention & churn drivers etc., transaction behavior across features, offer & scratch card

redemption, impact of email and notifications

• Marketing measurement - Evaluating effectiveness of marketing campaigns through channels

like ATL & performance media

• Product analytics

Responsibilities:

• Client management:

o Be able to lead the conversations with the client and develop deep understanding of the

nature of work to share new ideas and opportunity segments

o The candidate is required to bring in consulting expertise and work closely with the

client to identify opportunities for growth and scale the engagement

o Communicate with the clients and understand their business needs

• Technical:

o Work with large, complex data sets to solve difficult, non-routine analysis problems,

applying advanced analytical methods as needed


o Build data pipelines, and dashboards for marketers to self-serve data needs; enable

automated tracking of marketing campaigns

o Harmonize data as required and setup models according to the business logic defined

o Use statistical tools to identify and evaluate the relationships between data fields,

analyze output and determine the next action


• Project management: Lead at least one client engagement independently. Execute end to end

client engagements. Ensure regular client updates & meetings, stakeholder management, any

failure or risk analysis of the project, data sources, tracking execution & success metrics is done

effectively & efficiently.

Qualifications & Experience:

• Hands on experience with databases, SQL coding across standard commercial databases (e.g.,

Teradata, MySQL), and statistics tools (e.g., R / Python).

• Hands on experience with quantitative analysis/modeling (e.g., scenario-based, sensitivity

analyses, statistical techniques) and reporting

• Advanced knowledge of SQL is a must

• Good problem solving & insight generation skills

• Excellent communication skills with technical and non-technical stakeholders



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