Data Analytics & BI Manager

Akkodis; Chadds Ford (Delaware County); On-site; USD 135,000 - 160,000; Full time

Job summary

Akkodis is seeking a Data Analytics & BI Manager for a contract-to-hire role with a Pharma R&D client. This role involves leading the execution of modernizing the data environment using MS Fabric and Power BI, focusing on clinical trial data. Candidates are required to have strong skills in Power BI, PySpark, and stakeholder engagement, making it an exciting opportunity for professionals looking to impact data analytics in pharmaceuticals.

Benefits

Medical insurance

Dental insurance

Vision insurance

Life insurance

Short-term disability

401K plan

Tuition assistance

Student loan assistance

Paid maternity leave

Paid paternity leave

Qualifications

• Strong experience designing data models and implementing medallion architecture.
• Technical expertise in Power BI and data lake technologies required.
• Experience leading data analytics projects and technical teams.

Responsibilities

• Deliver end-to-end data analytics solutions using Microsoft Fabric and Power BI.
• Design technical solutions based on business requirements.
• Lead technical project delivery teams of data/BI engineers.

Skills

Power BI

PySpark

Data Analytics

Stakeholder Engagement

Python

Tools

Microsoft Fabric

Cloud Data Lake / Lakehouse Technology

Git

Job description

This range is provided by Akkodis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$135,000.00/yr - $160,000.00/yr

Akkodis is seeking a Data Analytics & BI Manager for a contract-to-hire role with our Pharma R&D client in Chadds Ford, PA. In this role, the Data Analytics Manager will help lead execution on their next-generation data environment for clinical trial data. They are looking to modernize their data environment (MS Fabric, Power BI) as well as support future state applications to consume data out of their enterprise lakehouse.

Salary: $135,000.00 to $160,000.00 per yearr W2 based up on experience, education, and other factors.

This role is required to be onsite 4 days per week, so we are seeking only local candidates.

Responsibilities

• Accountable for end-to-end delivery of data analytics solutions using Microsoft Fabric + Power BI.
• Design technical solutions based on business requirements in alignment with IT architecture standards and processes.
• Design relational models developing semantic relationships between tables and entities based on requirement gathering and interaction with stakeholders.
• Convert business requirements and problem statements into actionable code delivering ETL/ ELT data transformation, using notebook-based development using PySpark.
• Work closely with group of developers and data engineers to develop, troubleshoot, and validate code, models and PowerBI data products.
• Lead technical project delivery teams consisting of data / BI engineers including assigning work, tracking progress, and providing technical guidance.
• Engage and manage business and IT stakeholders throughout the requirements gathering, delivery, and testing process.
• Negotiate project scope, cost, timeline, and changes with business and IT stakeholders.
• Take functional ownership of a specific business area (e.g., Clinical, Corporate Functions, etc).
• Identify and lead continuous improvement activities related to new technologies and business process within Data Products & Analytics department.

Required skills and experience:

• Candidates will be expected to pass a technical interview which will include Power BI and PySpark exercises.
• Technical expertise in both Power BI and cloud Data Lake / Lakehouse technology
• Microsoft Fabric is strongly preferred, but Databricks or equivalent may be considered).
• Strong experience designing data models in the context of a data lake platform, including the implementation of medallion architecture.
• Coding proficiency in Python, PySpark and experience with Git based version control and CI/CD.
• Experience with delivering projects in adherence with IT and team standards. Experience designing and implementing design standards is a plus.
• Experience leading data analytics projects and technical teams. Direct people management experience is a plus.
• Experience engaging with business and IT stakeholders.
• Relevant subject matter expertise in relevant business areas (e.g., Clinical Trials, Clinical Operations, Technical Operations) and source system types (e.g., SAP, Veeva, CTMS, PPM)

If you are interested in this Data Analytics & BI Manager role in Chadds Ford, PA, then click APPLY NOW. For other opportunities available at Akkodis go to www.akkodis.com.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.modis.com/en-us/candidate-privacy/

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act

• Los Angeles City Fair Chance Ordinance

• Los Angeles County Fair Chance Ordinance for Employers

• San Francisco Fair Chance Ordinance

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting and Pharmaceutical Manufacturing

Referrals increase your chances of interviewing at Akkodis by 2x

Inferred from the description for this job

Disability insurance

401(k)

Medical insurance

Vision insurance

Tuition assistance

Student loan assistance

Paid maternity leave

Paid paternity leave

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