Job Description

Key Responsibilities

Analyze large-scale, complex datasets from multiple sources, ensuring accuracy, consistency, and reliability. Build advanced statistical models, predictive models, and machine learning algorithms to forecast trends and inform business strategy. Design and implement

end-to-end analytics solutions

, including data pipelines, ETL processes, and automated reporting. Develop and maintain

interactive dashboards

and visualizations using advanced features of tools like Tableau, Power BI, or Looker. Conduct

root cause analysis

of business problems and recommend data-driven solutions. Collaborate closely with data engineers, product managers, and business leaders to translate analytical insights into actionable initiatives. Ensure

data governance, security, and compliance

standards are strictly followed.

Required Skills & Expertise

Minimum 5 years of proven experience in data analytics or business intelligence roles. Expert-level

SQL

, including query optimization and working with large-scale databases. Advanced proficiency in

Python

or

R

for statistical modeling, predictive analytics, and data manipulation. Strong experience with

machine learning techniques

, predictive modeling, and statistical analysis. Hands-on experience with

big data technologies

like Hadoop, Spark, Hive, or similar platforms. Advanced data visualization skills (Tableau, Power BI, Looker) with the ability to create

dynamic dashboards for executive management

. Knowledge of

cloud-based analytics platforms

(AWS, GCP, Azure) and data warehousing solutions. Solid understanding of

data modeling, data architecture, and ETL processes

. * Strong analytical, problem-solving, and storytelling skills to explain complex concepts to non-technical stakeholders.