ADCI HYD 13 SEZ

Business Intelligence, Business Intel Engineer, Logistics

BIManager,DSPAnalytics,WWDSPAnalytics

₹23–35L ~AI est. Hyderabad, Telangana, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“BI Manager, DSP Analytics, WW DSP Analytics at ADCI HYD 13 SEZ. Skills: Business Intelligence, Data Engineering, Team Leadership. Build, mentor, and lead BI Engineers. Create and support datasets, metrics, and KPIs”

What You'll Achieve.

Deliver best-in-class data products; Deliver best-in-class data solutions; Enable DSP Performance measurement; Enable continuous improvement; Simplify data access; Unlock self-service insights; Improve safety; Improve quality; Improve experience

Industry & Context.

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

Data-driven decision making

What They're Looking For.

Must Have

7+ years BI and analytics experience, 5+ years managing BI/analytics team, Experience with SQL, Experience with ETL, Experience with data visualization, Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

Nice to Have

4+ years large data warehousing experience, 10+ years data warehouse technical architectures, 10+ years data modeling, 10+ years ETL/ELT experience, 10+ years reporting/analytic tools experience, 10+ years data structures experience, 10+ years hands-on SQL coding, Experience with data orchestration tools, Experience with modern data stack tools

What You'll Do.

and lead BI Engineers

Create and support datasets

Foster a culture of innovation

Foster a culture of collaboration

Foster a culture of professional growth

Provide guidance to team members

Provide feedback to team members

Provide performance evaluations

Drive team members' technical development

Drive team members' career success

Develop team members' technical skills

Partner with Data Engineers

Partner with Product Management Teams

Partner with Software Development Managers

Build relevant data products

Build relevant data solutions

Define data infrastructure

Develop data pipelines

Develop data warehousing

Develop ETL/ELT processes

Drive data governance initiatives

Empower Delivery Associates

Stay current with technology trends

Stay current with methodologies

Stay current with tools in AI/Automation

Recommend technologies

Implement technologies

Establish strategic partnerships with business stakeholders

Understand requirements

Translate requirements into technical solutions

Build team's 1-year plan

Build team's 3-year plan

Communicate progress on key initiatives

Drive roadmap strategy

Define roadmap strategy

Make feature delivery decisions

Manage tradeoffs in data product development

Contribute to engineering strategy decisions

Contribute to technology strategy decisions

Contribute to data product strategy decisions

Oversee development of data products

Develop incentive systems

Develop visualizations

Develop relevant metrics

Develop defensible metrics

Track business strategy

Enable self-service analytics capabilities

How You'll Work.

Team & Collaboration

Partner with Data Engineers; Partner with Product Management Teams; Partner with Software Development Managers; Partner with technical teams; Partner with business stakeholders

Process & Methodology

Roadmap strategy, Roadmap definitions

Full Job Description

Are you passionate about building high-performing data engineering teams that deliver best-in-class data products and solutions? Do you want to make a long-term impact on technology and business strategy? Are you ready to shape the future of small business owners in Last Mile delivery? We are seeking an experienced technical leader to join the Last Mile Delivery Service Partner (DSP) Analytics organization as an Business Intelligence Engineering Manager. In this role, you will lead a team of Engineers (Business Intelligence Engineers and Data Scientists) to build and maintain robust data and reporting that enables DSP Performance measurement and continuous improvement. You will drive the development of scalable data solutions, simplify data access, and unlock self-service insights through automation and best practices. Key job responsibilities Team Leadership & Development Build, mentor, and lead a high-performing team of Business Intelligence Engineers to create and support datasets, metrics, and KPIs aligned with DSP business goals Recruit top talent and foster a culture of innovation, collaboration, and professional growth Provide guidance, feedback, and performance evaluations to team members, driving their technical development and career success Develop team members' technical skills in data engineering, distributed systems, and cloud technologies Technical Strategy & Execution Partner with Data Engineers (DEs), Product Management Teams (PMTs), Software Development Managers (SDMs), and technical teams to build relevant data products and solutions Define and develop data infrastructure, including data pipelines, data warehousing, and ETL/ELT processes Drive data governance initiatives including data integrity, metrics definitions, single source of truth, accountability, and documentation Implement tooling and automation to continuously measure KPIs and empower Delivery Associates (DAs) and DSPs to improve safety, quality, and experience Stay current with techno

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