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Practice Group Senior Data Analyst

📍 Philadelphia, PA 🕒
Work Model
📍 Philadelphia, PA
Employment
💼 Full-Time Direct
Recruitment Type
🛡️ Direct to HR Pipeline
🛡️
Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • RemoteVault Editorial Team. Authenticated directly from Morgan, Lewis & Bockius LLP's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards →

📋 Role Overview & Responsibilities

Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with offices in strategic hubs of commerce, law, and government across North America, Asia, Europe, and the Middle East, is seeking to hire a Practice Group Senior Data Analyst to assist across practice groups with the development of business analyses utilizing technical platforms that allow case teams to gain an accurate, detailed, and nuanced understanding of data relevant to client matters and our clients' businesses.

Reporting to the Senior Director of Data Management & Analytics and Practice Group Data Analytics Team Lead, the Practice Group Senior Data Analyst will be responsible for manipulating data and creating and analyzing complex data analyses, reports and supporting documents for attorneys, legal teams and clients related, but not limited to: Labor & Employment cases and Litigation cases.

This position will reside in either our Philadelphia or Houston office and offers a hybrid in-office/remote working schedule.

Key Responsibilities Include

Work in a collaborative team environment to support attorneys and paralegals on a wide variety of complex business and legal issuesAccess, parse, and load complex data sets from small text files to large databases from enterprise applications quickly, efficiently, and accuratelyPerform data engineering, modeling, and analytic tasks to facilitate client reporting capabilities, enhance dashboards, and provide actionable data and insightful analysisJoin attorneys on client meetings to lead technical discussions including output file definition, input file requirements, and general interpretation of dataMentor, teach, share knowledge and analytic techniques with your colleagues

Experience And Preferred Qualifications

Minimum of three years of relevant experience in developing analytic solutions with proficiency in SQL, Microsoft Excel, Power BI, or similar data analysis and ETL toolsBachelor's degree (B.S./B.A.) in an appropriate field from an accredited college or universityStrong verbal and written communication skills with the ability to convey highly complex technical concepts down to actionable objectives to advise stakeholders including attorneys, firm management, and firm colleaguesExperience in project management including planning, organizing, and supervising clients and colleagues towards successful project completionDemonstrated ability to learn and succeed in a fast-paced environmentExpert level of proficiency with T-SQL or equivalent including a high level of proficiency in database administrationHigh proficiency with Microsoft Excel including an ability to create pivot tables, power pivots & queries, formulas, and external data connectionsAbility to design and implement ETL solutionsExperience in developing client facing visualizations and reports using Power BI, SSRS or similar visualization tools is a plusKnowledge of coding in Python, R, DAX and/or MExperience in developing SSIS and/or SSAS solutions

Qualified candidates must apply online by visiting our website at www.morganlewis.com and selecting “Careers.”

Morgan, Lewis & Bockius LLP is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, veteran status, gender identity, genetic information, or any other characteristic protected by federal, state, or local law.

Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment qualified applicants with arrest and conviction records.

California Applicants: Pursuant to the California Consumer Privacy Act, the following link contains the Firm's California Consumer Privacy Act Privacy Notice for Candidates which explains the categories of personal information that we collect and the purposes for which we use such personal information. CCPA Privacy Notice for Candidates

Morgan Lewis & Bockius LLP is also an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

If You Are Interested In Applying For Employment With Morgan Lewis And Need Special Assistance Or An Accommodation To Use Our Website Or To Apply For a Position, Please Call Or Email The Following Contacts

Professional Staff positions – 1.888.534.5003 / talent.acquisition@morganlewis.com

Morgan, Lewis & Bockius, LLP reasonably accommodates applicants and employees who need them to perform the essential functions of the job because of disability, religious belief, or other reason protected by applicable law. If you believe you need a reasonable accommodation during the application process, please contact Talent Acquisition at talent.acquisition@morganlewis.com.

Frequently Asked Questions

How do I apply for the Practice Group Senior Data Analyst position at Morgan, Lewis & Bockius LLP?

Click the “Apply for this Position” button on this page to submit your application directly to Morgan, Lewis & Bockius LLP without recruitment intermediary fees.

Is this position eligible for remote work or visa sponsorship?

This position is located in Philadelphia, PA with potential relocation and sponsorship assistance depending on candidate qualifications.

Are there any candidate fees on Hirely?

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