Senior BI Engineer - Data Visualization (5-14 yrs)

PRIMARY RESPONSIBILITIES :

- Own the BI landscape design, build, document, and maintain a single source of truth for KPIs and dashboards using front-end BI tools such as Tableau or Power BI

- Develop self service capabilities within the BI tools for users to be able to slice and dice information as needed.

- Own development of visualizations and assembly of analytics "story" indicating trends, patterns and outliers

- Manipulate/mine data from database tables, log files using scripting languges .

- Develop analytical tools deep-dive tools, UIs, metrics, and dashboards

- Perform deep-dives and root cause analysis to answer business questions

- Effectively communicate solutions and methodologies to leadership

- Work closely and be hands on with the Data Engineering team to ensure the availability and accessibility of relevant data for reporting purposes.

- Analyze existing reports and optimize them for standardization

- Ensure data accuracy by validating data for new and existing tools.

- Participate in the preparation of cost and resource estimates needed to complete sections of complex data analysis proposals.

- Develop estimates on smaller data analysis projects.

- Implement full technical documentation of data analysis systems, solutions and results.

- Develop professional contacts through association memberships, and attending seminars, to provide continuing awareness of recent advances in numerical analysis, computer science and

statistical technologies.

- Defines acceptance criteria, test plans and provide feedback on solutions as and when necessary

- Apply industry standard UI design, data lake needs, to assist in providing optimum solutions

- Follows Agile development processes(via JIRA) and uses Confluence to document everything as requested

- Develop and implement algorithms to on-demand visuals that answer specific business questions.

- Create models using tools that help Predict future trends and evaluates potential risks based on historical data (e.g., demand forecasting).

- Provide insights and recommendations to support decision-making processes.

- Identify unusual patterns or behaviors that could influence business outcomes and suggest preventive measures.

- Adhere to ethical standards and comply with the laws and regulations applicable to your job function.

KNOWLEDGE/SKILLS :

- Experience designing & building intuitive and actionable dashboards and data visualizations , reports, filters, metrics that drive business decisions

- Strong storytelling skills and clear communication / writing skill

- Fluent in talking to both data analyst and functional teams

- Adept at adjusting visualizations based on applied business context

- Understand Agile process to create the needed user stories and specifications

- Strong SQL and programming skills like Python.

- Proven expertise with Tableau & Advanced PBI Skills.

- Microsoft Onelake experience a big plus

- Faciliates and explores clear business requirements. Understands the unspoken needs and ability to clearly articulate the same via a business data story

- Clearly articulates data lake needs via visio

- Creates What-If senarios via PBI and Excel, Product mix similar models and ability to provide deep insights with every dashboard built consistently every week.

- Prepares Acceptance test for all requirements

- Produces Status reports, production planning reports and other project-related documentation

- Experience with natural language processing (NLP) and generative models (e.g., GPT, BERT).

- Proficiency in using tools and frameworks for content generation and text analysis.

- Experience in developing applications that leverage generative AI for business use cases.

- Experience with time series analysis, regression models, and classification algorithms.

- Proficiency in using predictive analytics tools and platforms (e.g., TensorFlow, Scikit-learn).

- Expertise in advanced predictive modeling techniques, including ensemble methods and deep learning.

- Experience in deploying predictive models in production environments and monitoring their performance.

EDUCATION AND EXPERIENCE :

A Bachelor's degree in Computer Science, Mathematics or Statistics, or a closely related field or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired is necessary

- Expert Experience using Python, Power BI, Visio, ETL (Apache NiFi, Talend, Informatica), R, MSBI Stack (SSIS, SSAS, SSRS, MSQL)

- Familiarity with AI frameworks like TensorFlow, PyTorch, and Keras.

- Knowledge of trending and effective charting packages for PBI

- Microsoft Onelake, and Amazon Redshift experience a big plus

- 3+ yrs Experience with Agile, Python, AWS 2.0 platform, Oracle, Datawarehouse (Azure Data

warehousing)

- 3+ yrs Experience with Data ingestion, Data processing and Data publishing methodologies

Fluent in statistics, datasets, and scripting.

- Understanding data modeling, data schemas (normalized, flat, star, snowflake, etc.).