ASSPL
Business Intelligence, Business Intel Engineer, Retail
BusinessIntelEngineerII,IESCFX&Prime
Neural analysis suggests this role is
optimal for Mid candidates.
“Business Intel Engineer II, IES CFX & Prime at ASSPL. Skills: Data analysis, Machine learning, Business intelligence. Understand business reality behind data. Develop meaningful solutions”
Industry & Context.
Solving unstructured problems; Analytical skills; Quantitative skills
What They're Looking For.
Must Have
4+ years of professional experience, 4+ years of SQL experience, Experience programming to extract, transform and clean large (multi-TB) data sets, Experience with theory and practice of design of experiments and statistical analysis of results, Experience with AWS technologies, Experience in scripting for automation (e. g. Python), advanced SQL skills, 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc., Experience with data visualization using Tableau, Quicksight, or similar tools, Experience with data modeling, warehousing and building ETL pipelines, Experience in Statistical Analysis packages such as R, SAS and Matlab, Experience using SQL to pull data from a database or data warehouse, scripting experience (Python) to process data for modeling
Nice to Have
Experience working directly with business stakeholders to translate between data and business needs, Experience managing, analyzing and communicating results to senior leadership, Knowledge of data warehousing and data modeling, Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift, Experience in data mining, ETL, etc., using databases in a business environment with large-scale, complex datasets
What You'll Do.
Understand business reality behind data
Develop meaningful solutions
Evolve with business analytical requirements
Work closely with internal stakeholders
Align stakeholders with focus area
Innovate by adapting new modeling techniques
Bring datasets together to answer business questions
Create and manage datasets
Extract huge volumes of data from various sources
Construct complex analyses
Implement data flow solutions
Process data real time on message streams
Solve unstructured problems
Work in a self-directed environment
Own tasks and drive them to completion
Develop and define key business questions
Build data sets that answer questions
Own customer relationship about data
Ensure high data availability
Document data details and transformations
Handle user notifications and training
Mentor junior resources
Build scalable systems
Drive automation by converting resources into dashboards
Influence business decisions with data
Use data resources to accomplish analytical tasks
Provide input on suggested business actions
How You'll Work.
Team & Collaboration
Internal stakeholders; Cross-functional teams; Business teams; Engineering teams; Partner teams; Diverse teams
Communication Scope
Business communication; Written communication
Full Job Description
As a BIE in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the marketing and product management team through a combination of data mining techniques as well as use statistical and machine learning techniques. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. Responsibilities Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management You will need to have an AI first mindset in evolving and becoming more agile with business analytical requirements Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets. You will extract huge volumes of data from various sources and message streams and construct complex analyses. You will implement data flow solutions that process data real time on message streams from source systems. You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notificatio
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