Job Description:

Job Summary:

As a member of the Data Analytics team, you will work with various data sets to uncover insights that drive strategic decision-making and business optimization. Your responsibilities include data collection, analysis, interpretation, and visualization, as well as providing actionable recommendations to support business goals. You will collaborate with cross-functional teams and play a key role in fostering a data-driven culture within the organization.

Key Responsibilities:

• Data Collection & Preparation: Gather data from various sources, clean and preprocess data to ensure accuracy and consistency. Utilize Snowflake and databricks for data storage, processing, and querying.

• Data Analysis: Conduct statistical analysis and exploratory data analysis to identify trends, patterns, and insights. Use machine learning techniques for predictive modeling and other advanced analytics tasks.

• Data Visualization: Create clear and meaningful data visualizations using tools like Tableau Power BI or like effectively communicate insights.

• Reporting & Dashboards: Develop regular reports and dashboards to track key performance indicators (KPIs) and business metrics.

• Collaboration: Work closely with other teams (e.g., marketing, finance, operations) to understand their data needs and provide insights to support their objectives.

• Documentation: Document analytical processes, findings, and methodologies for future reference and knowledge sharing.

• Problem Solving: Use data to identify opportunities for business improvements and provide recommendations for process optimization.

• Continuous Learning: Stay up to date with industry trends, tools, and best practices in data analytics, including Snowflake and machine learning techniques.

Qualifications:

• Education: Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering).

• Experience: Previous experience in a data analytics role or a related field, including work with Snowflake and machine learning, required technical skills include,

-Proficiency in data analysis languages (e.g., Python, R) and data manipulation tools (e.g., SQL)

-Familiarity with data visualization tools like Tableau, Power BI, or similar, hands-on experience using Snowflake for data storage, querying, and processing

-Experience with machine learning techniques, including supervised and unsupervised learning, model training, evaluation, and deployment.

-Strong understanding of statistical analysis and hypothesis testing.

-Understanding of data privacy regulations and adherence to data governance best practices

• Communication Skills: Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner.

• Problem-Solving Skills: Strong analytical and problem-solving abilities with attention to detail.

• Teamwork: Ability to work effectively as part of a team and collaborate with different departments and willingness to learn new tools and technologies and adapt to changing project requirements.

Experience: Overall 6+ yrs in Data Analysis.

Weekly Hours:

40

Time Type:

Regular

Location:

Chennai, Tamil Nadu, India

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws

We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status