Manager/Senior Manager - Analytics - Automobile

Manager/Sr. Manager-New Auto - Analytics(NON IT)

Not looking for Coders

Key responsibilities will include:

- Build, develop and maintain reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.

- Oversee all analytics operations to correct discrepancies and ensure quality

- Examine, interpret and report results of analytical initiatives to stakeholders in leadership, sales, marketing and product teams.

- Train and supervise analyst-level employees

- Develop a deep understanding of internal system databases, Google Analytics and Webmaster

- Manage and optimize processes for data intake, validation, as well as modelling, visualization

- Plan and prioritize various projects and tasks related to data

- Provide Data support to Sales for various pitches and analysis. Extract insights and opportunities from Data.

- Work on data and pull presentations

- Connect dots and put random unstructured information in a structured logical format.

- Application of audience data, segmentation across display, social and video

APPLY IF YOU HAVE-

- Over 3+ years working experience in a high-performance working environment e.g., consulting, ecommerce or Automotive industry

- Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.

- Established expertise in designing new dashboards, identifying right metrics, layout

- Proficiency in building dashboards on Tableau/PowerBI using best practices and intuitive visualization

- Familiarity with digital advertising, audience targeting and first-party data

- Strong problem solving, quantitative and analytical abilities.

- Top notch communication skills to convey key insights from complex analysis in summarized business terms

- Results-driven and ability to handle multiple projects.

- Strong interpersonal and time-management skills.

- Ability to adapt quickly, and work with ambiguity.

- Proficient in MS Excel, Google Analytics, Google Data Studio and Powerpoint

- Strong programming skills with querying languages: SQL, Mongo

- Good to have: Python, SAS, R, Data Science tools and Statistical Concepts, etc.