Key Responsibilities:

Collaborate with cross-functional teams to identify data analytics requirements and develop effective solutions.
Design and implement data models, data warehouses, and data lakes to facilitate data analysis and reporting.
Develop and maintain ETL pipelines to extract, transform, and load data from various sources.
Perform data cleansing, data mining, and data manipulation to ensure data accuracy and integrity.
Utilize advanced statistical techniques to analyze and interpret complex data sets.
Develop data visualizations and dashboards to effectively communicate insights and trends.
Stay updated with emerging trends and technologies in data analytics and recommend improvements to enhance our data analytics capabilities.
Provide technical guidance and mentorship to junior data analytics engineers.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
Minimum of 5 years of experience in data analytics, business intelligence, or a similar role.
In-depth knowledge of SQL, Python, R, and other data analytics tools and languages.
Proficient in data modeling, data warehousing, and ETL processes.
Strong understanding of statistical concepts and techniques.
Experience with data visualization tools such as Tableau, Power BI, or Qlik.
Excellent problem-solving and analytical skills.
Ability to work independently and in a team environment.
Strong communication and interpersonal skills.

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