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ntellect is hiring a
Senior Data Analytics Lead

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Read by 199 job seekers.

Gurugram, India

At Intellect, we are seeking a highly skilled and motivated Senior Data Analytics Lead to lead our dynamic data team. In this role, you will be responsible for providing strategic direction, overseeing day-to-day operations, and driving insights from data to support business objectives. As a key leader within the organization, you will collaborate closely with cross-functional teams to identify opportunities, optimise processes, and drive data-driven decision-making.

This is a hands-on role where you will have the opportunity to build the foremost mental health solution in the region. The ideal candidate will have a strong background in data science, leadership experience, and a proven track record of leveraging advanced analytics to solve complex business challenges.

They will have a solid understanding of software development life-cycle and engineering practices, experience developing production ML systems, experience working on a range of recommendation and optimisation problems, experience applying reinforcement learning (or control theory), experience working with real-time streaming data.

  • Assume ownership of the data teams, bringing together the data engineering, audience, and data governance team.
  • Evolve our data strategy and evangelise the use of data for decision making to achieve key business outcomes.
  • Help to develop and enforce guidelines for the collection, storage, management, documentation, quality, and protection of data.
  • Oversee the development and maintenance of the company’s data lake and make use of existing data assets to generate business insights, visualise information, and solve problems.
  • Identify opportunities to enrich data by supplementing or fusing it with data from partnerships or other external sources.
  • Take a proactive approach to help business heads seek out new revenue opportunities (increase readership, subscriptions, advertisement and new services) through more effective and creative use of data.
  • Drive experimental data modelling designs within the business. Run A/B tests in order to evaluate changes in the business’s products and services.
  • Track business performance against data analysis models and monitor trends in key business KPIs, providing valuable insights to relevant departments for overall business performance improvement.

Requirements

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; Master's degree preferred.
  • Minimum of 5+ years of experience in data analytics, with 3+ years in a managerial or leadership role.
  • Proficiency in data analysis tools and languages such as SQL, Python, R, and Tableau.
  • Strong understanding of statistical methods, machine learning techniques, and data visualisation principles.
  • Excellent communication skills, with the ability to effectively present complex technical information to non-technical stakeholders.
  • Proven track record of driving results and delivering business value through data-driven insights and initiatives.
  • Strong leadership and team-building skills, with the ability to motivate and inspire a diverse team of professionals.

Benefits

  • Work in a diverse environment with people from over 10 countries
  • A generous leave policy
  • Work flexibility
  • Medical coverage
  • Annual Wage Supplement (Bonus)
  • Christmas Leave (The team takes the whole Christmas week off separate from our leave policy)
  • Birthday Leave (1 day)
  • Holidays off
  • Quarterly mental health day off
  • Mental health benefits (Premium access to our app and unlimited coaching sessions!)
  • Work-life balance and employee wellness
  • Regular social events where we have non work-related fun

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $20,000 - $30,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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