Enterprise Insights & Analytics Analyst (Work Timings :- 03:30 PM IST to 12:30 AM IST)
Indexed description
Key Responsibilities
- Collect, analyze, and interpret data from various sources to identify trends, patterns, and opportunities to improve business performance.
- Partner with stakeholders across teams to understand business needs and deliver actionable insights that support decision-making.
- Build dashboards and visual reports using tools like Tableau, Power BI, or similar platforms to present complex data in an easy-to-understand format.
- Define and track key performance indicators (KPIs) to measure the success of business initiatives, ensuring alignment with company objectives.
- Apply statistical methods, machine learning algorithms, or forecasting models to predict future trends and behaviors.
- Work closely with IT, data engineering, and other analytics teams to ensure data quality, availability, and integrity.
- Identify opportunities to improve data processes, reporting tools, and analytics methodologies.
- Utilize AI-enabled tools (e.g., chatbots, documentation automation, analytics assistants) to improve efficiency, accuracy, and streamline routine tasks while following company AI governance and data privacy standards
Qualifications
Required Experience
- Bachelor’s degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. A master’s degree is a plus.
- Strong knowledge of SQL for querying and manipulating data.
- Experience with data visualization tools
- Proficiency in programming languages for analytics is a plus.
- Ability to derive meaningful insights from large and complex datasets.
- Strong focus on accuracy, consistency, and quality of data.
- Demonstrated ability to think critically and propose data-driven solutions to business challenges.
- Excellent verbal and written communication skills to convey insights to both technical and non-technical audiences.
- Ability to manage multiple projects and deadlines in a fast-paced environment.
- 2-4 years of experience in analytics, insights, or a related field
- Skills in prompting AI systems and assessing output quality
- Ability to leverage AI to ideate, develop and scale to the needs of the department
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