Key Responsibilities:

Serve as the primary analytical resource for client teams, building trusted relationships with key stakeholders.
Collaborate with senior team members to identify risks and growth opportunities, utilizing analytical insights for client benefit.
Extract and manipulate data from various sources using SQL and Python for business intelligence reporting.
Engage with stakeholders to understand reporting needs and align KPIs with strategic objectives.
Coordinate with stakeholders to collect, clean, and validate datasets, ensuring data integrity through coding techniques.
Develop and implement data models in SQL and Python to uncover trends and enhance business performance insights.
Conduct in-depth analyses with SQL and Python to provide actionable insights for client decision-making.
Maintain and optimize BI reports through coding improvements to ensure accuracy and relevance.
Stay updated on market trends and best practices in data analytics to enhance service offerings and quality standards.
Mentor junior team members in analytical coding practices, fostering a collaborative learning environment.

Education:

Bachelor s degree in science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred

Experience:

Over 4+ years of experience in data analytics, focused on SQL and Python coding.
Proficient in data analytics tools such as SQL and Python, with a solid track record of managing complex analytical projects
Strong analytical and problem-solving skills, delivering actionable insights through data modelling and analysis
Excellent client-facing abilities, building relationships with senior stakeholders and influencing decision-makers.
Strong written and verbal communication skills, effectively engaging with stakeholders at all levels.
Adaptive learner with the ability to rapidly adopt new tools and platforms, including knowledge of Gen AI
Entrepreneurial mindset with a collaborative approach to problem-solving and a commitment to mentoring and developing talent.
Familiarity with creating visualizations in Power BI and Tableau is a plus.

Lead Data Analytics Specialist