Business Intelligence Developer

Most BI roles ask you to build dashboards. This one asks you to own the thinking behind them: how data is modelled, how quality is measured, and how a plant manager in one region and a sales head in another can trust the same numbers.

Why This Role Matters

Husky sells complex manufacturing technology to customers worldwide, so its reporting has to hold up across regions, currencies, and time zones.

The Business Analyst and BI Developer sits between business teams and the Digital Solutions Team. You gather reporting needs, write specifications, build the solution, and then support it after launch. Beyond report building, you also help define governance policies, data quality metrics, and testing standards for BI tools, and you train users toward self-service analytics.

A Typical Day In This Role

A normal day mixes analysis, building, and communication. You might begin by profiling a new data source to understand its quirks, then move to tuning a slow DAX measure or SQL query. After lunch there could be a requirements workshop with a business partner, followed by documenting specifications for a new dashboard. Troubleshooting data discrepancies reported by users fills the gaps, and you are expected to resolve them promptly while looking for the root cause.

Technical Skills Snapshot

The posting lists a wide stack. This table separates what is core from what is a bonus.

Strong asset: Databricks or Microsoft Fabric

How Data Flows Here

A typical enterprise pipeline on this stack moves data through several layers before it reaches a dashboard. Understanding this flow is the clearest way to prepare for the interview.

flowchart LR
A[ERP Systems] --> B[Data Factory]
B --> C[Data Lake]
C --> D[Synapse]
D --> E[Tabular Model]
E --> F[Power BI]

Working With ERP Data

The posting asks for a strong understanding of ERP and operational system data structures. ERP databases are heavily normalised, with cryptic table names and many joins between orders, materials, customers, and invoices. Candidates who can read such a schema, spot duplicate or missing records, and explain what a number actually represents will stand out. If you have not worked on one, study the sample schema of any open-source ERP and practise writing joins across sales and inventory tables.

Skills Worth Building Before You Apply

Start with SQL, since the role depends on writing efficient queries rather than simple ones. Practise window functions, CTEs, indexing basics, and reading execution plans. Next, build a Power BI project with a proper star schema, calculated measures in DAX, and row-level security. Microsoft’s PL-300 (Power BI Data Analyst) and DP-203 (Azure Data Engineer) certifications align closely with this stack, and AZ-900 helps with Azure vocabulary.

A dashboard nobody trusts is worse than no dashboard, so data quality is part of the job.

Communication And Collaboration

Husky expects you to explain technical ideas to business stakeholders in plain language and to run meetings, workshops, and design sessions. You will work with Data Engineering, other Business Analysts, and business partners in a distributed international setup, so clear written documentation and comfort across time zones matter. English is required, and German or French is an added advantage.

International Team Chennai Office

What Recruiters May Evaluate

Expect questions on SQL optimisation, DAX logic, data modelling choices such as star versus snowflake schemas, and how you would validate a report before release. You may be asked to walk through a past dashboard and explain the business problem it solved. Be ready to describe how you handled a data inconsistency and how you communicated it to non-technical users.

Tools You Will Touch

Power BI SQL Server SSAS Azure Data Factory Synapse ADLS Azure DevOps

What Can Strengthen Your Resume

Show projects with measurable outcomes, such as a report that cut manual effort or a model that sped up refresh times. Mention version control and deployment practice if you have used Git or Azure DevOps. Add a short line on any manufacturing, sales, or supply chain dataset you have analysed, since business context is explicitly valued.

Career Direction

The mix of BI development, governance, and training opens paths toward BI architecture, analytics engineering, and data platform leadership. Exposure to emerging tools like Fabric and Databricks, which the team evaluates, adds further range.

Keywords for Resume

Power BI • DAX • SQL • SSAS • Azure Data Factory • Azure Synapse • ADLS • Azure DevOps • CI/CD • Data Modelling • Semantic Layer • ETL • Data Profiling • Data Governance • Master Data Management • Dashboard Design • Data Storytelling • Requirements Gathering • Business Intelligence

Final Thoughts

This role is a strong fit for analysts who want to work close to both the data platform and the business. The expectations are broad, so applicants who prepare their SQL, Power BI, and Azure basics and can explain their projects clearly will present the strongest case.