Summary
The Business Intelligence Senior Engineer is responsible for optimizing customer experience and order fulfillment insights across Ashley Furniture retail channels ecommerce and brick and mortar stores -- through building machine learning models using Python on cloud platforms including Databricks, Microsoft Azure, Google Analytics. Collect and analyze data to measure the impact of initiatives to support strategic business decision making.
Works with developers to provide the business at all levels with relevant, intuitive, insight-driven information that is directly actionable. Create visualizations to track Key Performance Indicators (KPIs) and other important metrics that the business stakeholders can use to make more informed decisions
Primary Job Functions
- Extract, transform, and load data into cloud environments to prepare and structure data frames needed for modeling
- Uses multiple Python libraries and looping functions to create models to answer complex business problems and provide value
- Utilize predictive and prescriptive analytical techniques including XGBoost, classification, KNN (K means clustering, nearest neighbor), NLP (natural language processing), and Neural Networks to analyze and structure model outputs for business consumption
- Utilize SQL language skills to translate the business needs into structured queries to return the required data to answer business questions
- Work with data engineering teams and software providers to continually optimize model and data transformation performance
- Communicate and understand business needs, translate needs to data source systems, and work with data engineers to extract information from source systems into cloud database servers
- Utilize visualization tools and software (PowerBI, Tableau, Excel) to structure and showcase results of analytical models
- Build relationships with the business units to ensure recommendations from models are followed and value is achieved
- Develop pro forma modelling and ad hoc analyses as required
- Perform deep dive analyses into specific issues as required
- Interface closely with technology partners to manage the analytical environment and acquire data sets
- Utilize statistical and data visualization packages to develop innovative approaches to complex business problems.
- Draw insights and make performance improvement recommendations based upon data sources and analysis
- Utilize quantitative and qualitative methodologies including regression, weighted average modeling, minimization/maximization functions, and data classification to draw insights and support the continuous improvement of the business.
Required Qualifications
- Proficient in working in Microsoft Azure services and/or other cloud computing environment
- Experience with Database Management Systems (DBMS), specifically SQL and NoSQL.
- Knowledge of an enterprise data visualization platform, such as Power BI, Tableau, Big Query
- Advanced analytical and problem-solving skills
- Strong applied Algebraic skills
- Working knowledge of business statistical application and econometrics
- Project management skills
- Ability to digest business problems and translate needs into a data-centric context
- Ability to synthesize and analyze large sets of data to yield actionable findings
- Strong attention to detail
- Excellent verbal and written communication skills
- Handle multiple projects simultaneously within established time constraints
- Perform under strong demands in a fast-paced environment
- Work professionally with customers and co-workers to efficiently serve our customers, treating both with enthusiasm and respect
Primary Technologies: SQL, Power BI, Tableau, Excel, Python, Azure Synapse, Databricks, Spark
Experience Range: 5 - 9 Years of experience
Work Location: Chennai
Work Mode: 5 Days work from office
If you feel you have the necessary skill sets and are passionate about the job, please send your profile to [Confidential Information]
