ASSPL

Business Intelligence, Business Intel Engineer, Retail

BusinessIntelEngineerII,IESCFX&Prime

₹22–35L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

Business Intelligence, Business Intel Engineer, Retail
Problems you'll solve

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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