Lonza is Hiring Business Intelligence/Data Analytics Specialist | Hyderabad | 0 - 4 Years

Job Description

Lonza's 𝐁𝐈 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 opening is worth understanding in the context of the company — Lonza is a major global life sciences and pharmaceutical manufacturing company, meaning this BI role would apply data analytics skills to a genuinely large-scale industrial and commercial operation supporting medicine manufacturing worldwide. Worth noting: this specific role focuses primarily on 𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐢𝐚𝐥, 𝐒𝐚𝐥𝐞𝐬, 𝐚𝐧𝐝 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 use cases, not clinical or manufacturing data — so despite the pharmaceutical industry context, the actual data work here is closer to typical business intelligence and commercial analytics than pharma-science-specific analysis.

The role covers the genuinely 𝐟𝐮𝐥𝐥 𝐁𝐈 𝐥𝐢𝐟𝐞𝐜𝐲𝐜𝐥𝐞 — from ETL/data pipeline work through to final dashboard delivery and storytelling — which is a meaningfully broader scope than roles that specialize narrowly in just dashboard building or just data engineering. This breadth means you'd build well-rounded BI skills across data ingestion, modeling, and presentation, though it also means the role expects comfort across multiple distinct technical areas rather than deep specialization in just one.

Worth noting: the "0-4 years" experience range is notably wide, meaning genuine freshers would be competing in the same pool as candidates with up to 4 years of BI experience. Combined with a fairly comprehensive tool list, including ETL platforms like 𝐒𝐧𝐚𝐩𝐋𝐨𝐠𝐢𝐜, 𝐒𝐒𝐈𝐒, and 𝐀𝐳𝐮𝐫𝐞 𝐃𝐚𝐭𝐚 𝐅𝐚𝐜𝐭𝐨𝐫𝐲, along with multiple BI visualization tools, this suggests the role's actual expectations may lean toward the more experienced end of that range in practice, even though it's technically fresher-accessible.

𝐎𝐮𝐫 𝐓𝐚𝐤𝐞:

- 𝐆𝐨𝐨𝐝 𝐟𝐨𝐫: Data/IT/Digital graduates with genuine hands-on BI tool experience such as 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 or 𝐓𝐚𝐛𝐥𝐞𝐚𝐮 and some ETL/data pipeline exposure, interested in commercial and marketing analytics within a large global life sciences company.

- 𝐍𝐨𝐭 𝐢𝐝𝐞𝐚𝐥 𝐟𝐨𝐫: Those with only theoretical BI coursework and no hands-on dashboard-building or ETL project experience — the tool list here is genuinely comprehensive for a fresher-inclusive role.

- 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐝𝐢𝐟𝐟𝐢𝐜𝐮𝐥𝐭𝐲: 𝐌𝐨𝐝𝐞𝐫𝐚𝐭𝐞-𝐭𝐨-𝐡𝐢𝐠𝐡 given the wide experience band and comprehensive technical requirements — genuine hands-on BI tool experience, even from personal projects, will be necessary to compete against candidates with 2-4 years of prior experience.

- 𝐂𝐚𝐫𝐞𝐞𝐫 𝐭𝐫𝐚𝐣𝐞𝐜𝐭𝐨𝐫𝐲: Commonly leads into 𝐒𝐞𝐧𝐢𝐨𝐫 𝐁𝐈 𝐀𝐧𝐚𝐥𝐲𝐬𝐭, BI Developer, or Analytics Engineer roles, with genuine commercial and marketing analytics experience at a major life sciences company being valuable for future roles in either the pharma/life sciences sector specifically or broader enterprise BI.

𝐂𝐨𝐦𝐩𝐞𝐧𝐬𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐞𝐱𝐭: Lonza hasn't disclosed pay for this role. BI/Data Analytics Specialist roles at large global life sciences companies in Hyderabad typically range around ₹5–8 LPA depending on actual experience level, based on general market data for comparable entry-to-mid-level BI roles at multinational companies — this is a broad estimate given the wide experience range accepted.

𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: Given the breadth of tools mentioned, don't try to claim proficiency in everything — instead, demonstrate genuine depth in at least one BI visualization tool, such as 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 or 𝐓𝐚𝐛𝐥𝐞𝐚𝐮, paired with any ETL/data pipeline project experience, even if from personal projects rather than the specific enterprise tools listed. The "advantageous" JavaScript/containerization skills are explicitly optional, so don't worry if you lack those.

Roles & Responsibilities

The responsibilities span the complete BI product lifecycle — from data engineering through to end-user-facing reporting and ongoing platform operations.

- Support delivery and evolution of BI products as part of the Omni BI project team

- Gather business requirements and scope solutions with end-user focus

- Develop ETL processes and manage data integration/pipelines

- Design user-centric reports and dashboards with strong storytelling and usability

- Generate analytics and insights supporting commercial decision-making

- Strengthen data quality, availability, and traceability

- Provide operational support: monitoring, issue resolution, performance optimization

- Contribute to data governance (standards, metadata, access controls)

- Identify BI/automation opportunities, primarily within Marketing

Qualifications & Eligibility

Broad academic eligibility paired with a notably wide experience range.

- Bachelor's degree in Data, IT, Digital, or related fields

- 0–4 years of experience in Data Analysis, Business Intelligence, or related areas

Skills Required

Core requirements span BI visualization, ETL tooling, and data governance awareness — a genuinely comprehensive list for a fresher-inclusive role.

- Strong BI and data skills in database-driven environments

- Hands-on ETL experience (SnapLogic, SSIS, Azure Data Factory, or similar)

- Awareness of data governance concepts (quality, lineage, access control)

- Dashboard/report design experience (Power BI, Qlik, Tableau, Spotfire, Looker, or equivalent)

- Advantageous: JavaScript frameworks (React, Angular, Vue, Node.js), Docker, CI/CD practices