**Job Description:** As a senior specialist, you will architect and develop solutions using BI applications to provide business with insights and visualizations. Manage and support users on Business Intelligence applications such as Power BI and Tableau. Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment. **Key Roles and Responsibilities:** + Deliver and Support the standardization, customization and ad-hoc data analysis using BI applications such as Power BI and Tableau and develop the mechanisms to ingest, analyze, validate, normalize and clean data. Implement statistical data quality procedures on new data sources and by applying rigorous iterative data analytics, supports Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. + Use Generative AI in data analytics to automate the data extraction, analysis process, filtering data by inputting parameters, future data analysis and risk management. Work with vendors and copilot a Generative AI tool to build new reports quickly and with high levels of specificity, generate visualizations from data, analyze data, analyze existing reports, create narratives from data and forecasting. + Collaborate with portfolio stakeholders, Solution and Enterprise Architects, to develop, analyze, split, and realize the implementation of enablers. Participate in project planning, system and solution demos, retrospective workshops. Program different platforms (most importantly with SQL), involving power BI or tableau development and administration. + Align development teams to a shared technical direction and partners with those teams in elaborating the Solution and its interfaces. Validate technology assumptions, evaluate implementation alternatives. Create and enable the Continuous Delivery Pipeline including: Participate in planning, definition, and high-level design of the system solution and explore alternatives. + Work with Big Data Policy and Security teams and Legal to create data policy and develop interfaces and retention models which requires synthesizing or anonymizing data for secure data access. + Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment. + Develop and maintain data engineering best practices and contribute to Insights on data analytics and visualization concepts, methods and techniques **Job Contribution:** Technical professional with some experience. Sound technical knowledge growing through application, expanding knowledge of ATT technologies. **Education:** Preferred Bachelors degree in Business, Information Systems, Engineering, Math, or Sciences; Data Analytics or Business Analyst nanodegree; or equivalent experience. **Experience:** Required 11-13 years experience. Technical Career Pathway (TCP) role. **Supervisory** : No. **Weekly Hours:** 40 **Time Type:** Regular **Location:** Bangalore, Karnataka, 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