
Description:
About The Role:
We are looking for an Associate Manager - Analytics to work on a wide range of data analytics, data visualization, and business intelligence initiatives across multiple industries.
This role combines hands-on analytics with team leadership and client engagement, making it ideal for professionals who enjoy solving business problems through data while mentoring teams.
Key Responsibilities:
- Engage with clients to understand business context, objectives, and analytical requirements.
- Analyze and map end-to-end business processes using visual and structured formats.
- Translate business problems into analytical frameworks and solve them using statistical and machine learning techniques.
- Lead and manage a team of data analysts to deliver high-quality, client-ready solutions.
- Collaborate closely with data scientists and data engineers to embed analytics and AI into business decision-making processes.
- Ensure timely delivery, quality assurance, and effective stakeholder communication.
Desired Skills & Competencies:
- Experience in developing and enhancing analytical algorithms and models to solve business problems.
- Ability to provide end-to-end analytical support across diverse industry domains and use cases.
Strong experience in generating data outputs such as:
- Data cleaning and preparation.
- Survey data processing, weighting, and variable recoding.
- Custom tabular views and cross-tabulations.
- Strong quantitative analysis skills with the ability to interpret and present insights clearly.
- Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Spotfire (any one).
- Strong working knowledge of MS SQL databases.
- Working knowledge of Python is a plus.
- Excellent analytical thinking and problem-solving abilities.
- Strong communication skills with experience in storyboarding and client interactions.
Education & Experience:
- 4-6 years of relevant experience in analytics, with a strong focus on problem-solving and advanced analytics solutions.
- Bachelors degree in Engineering, MBA, or an advanced degree in Mathematics, Statistics, or an equivalent discipline.
Skills: data analytics, business intelligence, data visualization.
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