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Salary
≈ $16k – $32k per year (Estimated)
Location
In office (Noida)
Seniority
Staff · 8+ years exp
Visa
Sponsors visas in United States; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Oct 26, 2026. Crowe scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Crowe is a global network of independent accounting and advisory firms, Crowe Global, whose members provide audit, tax, consulting and risk services in more than 140 countries. Its largest member, Crowe LLP, is a US public accounting and consulting firm headquartered in Chicago with offices across the United States. The jobs attached to this record are Crowe LLP roles in audit, tax, forensic accounting, technology consulting and machine learning in cities such as Chicago, Dallas, Indianapolis and New York.

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

As a Data Analytics Manager at Crowe, you will provide critical solution development across a broad portfolio of external clients and industries. You retain a combination of functional knowledge and execution skills in leveraging SQL, SSAS, PySpark, Power BI, Tabular Editor, Microsoft Fabric, and other Microsoft BI stack products. Accounting or Finance background a huge plus. The ideal candidate will have a deep understanding of Business Intelligence processes and technologies, as well as experience with a variety of data sources, modeling techniques, and advanced visualizations. We prefer candidates with a strong client facing, consulting background and business accounting/finance acumen.

Additionally, you have strong critical thinking and analytical skills with a proven track record in executing solutions from planning to delivery. You understand basic agile methodologies and are committed to the continuous improvement of your solutions.

At Crowe, you will join the Data & Analytics Engineering team comprised of synergistic, high-functioning problem solvers that have extensive consulting and industry experience to drive solutions from strategy to execution. The team thrives on helping clients solve their complex business issues accurately, creatively, and expeditiously. As a member of the Data Analytics team, you will provide meaningful firm-wide contributions that uphold the team’s dedication to “One Crowe.” We strive for an unparalleled client experience and look to you to promote our success. Providing an excellent client experience, timely delivery, and communication are critical elements to success in this role.

Specific responsibilities include but are not limited to:

  • The shift timings for this role is 5:00PM - 2:00AM IST (7:30AM - 4:30PM ET)
  • Perform duties related to business analysis, such as scoping, documentation, project management, and related activities to establish an engagement blueprint
  • Interface and communicate with subject matter experts of varied backgrounds to adequately assess business intelligence requirements and execution strategy
  • Rapidly develop diverse POCs from various data sources and systems
  • Clean, transform, and blend large and disparate data sources while leveraging SQL EDW, M, and DAX best practices
  • Leverage Tabular Editor, ALM Toolkit, and DAX Studio to quickly and efficiently perform model operations across complex deliverables
  • Perform ad-hoc data discovery using tools such as Power BI, SQL, or Excel
  • Create visually stunning and salient reports using tools such as Power BI or Tableau (additional tools a major plus)
  • Deploy, provision, and manage Power BI workspaces and deliverables
  • Possess effective writing and communication skills for audiences of diverse business and technical backgrounds
  • Work with data engineers and other stakeholders to define data requirements
  • Balance multiple projects with attention to detail while meeting deadlines
  • Continuously improve processes with advancements in the MS BI platform

Qualifications

  • Master's or Bachelor's degree in a relevant field (such as Computer Science, Information Systems, Data Science, or a related discipline).
  • 8+ years of experience in a data analyst, developer, architect, or similar position
  • 7+ years of advanced experience with DAX, M, SQL, and Power BI
  • 5+ years of experience in creating dashboards and deploying to clients
  • 3+ years of experience in Power BI Service delivery and Admin role and responsibility
  • 1.5+ years of experience in leveraging ETL SaaS tools (Talent, Stitch, Hevo, etc.,) or ADF Integration
  • Expert knowledge of creating and optimizing dimensional models
  • Strong leadership, team management, and communication skills.
  • Ability to mentor and train junior ETL developers
  • Solid understanding of software development life cycle models as well as expert knowledge of both Agile and traditional project management principles and practices and the ability to blend them together in the right proportions to fit a project and business environment
  • Expert skills in Microsoft Excel and Outlook, strong skills in PowerPoint
  • Strong track record of developing high-quality models on-premise and/or in the cloud
  • Excellent client-facing and internal communication skills
  • Excellent written and verbal communication skills
  • Effectively managing multiple deliverables, clients, and projects in a fast-paced environment
  • Knowledge of programming languages like SQL, Python, R, or Java.
  • Familiarity with data governance, data security, and compliance.
  • Solid understanding of software development life cycle models as well as expert knowledge of both Agile and traditional project management principles and practices and the ability to blend them together in the right proportions to fit a project and business environment
  • Technical background, with understanding or hands-on experience in enterprise solutions for different industries
  • High-level knowledge of BI architecture or data warehousing
  • Excellent written and verbal communication skills
  • Effectively managing multiple deliverables, clients and projects in a fast-paced environment
  • Strong problem-solving skills and analytical thinking.

Certifications (Preferred)

  • Certifications in BI (ETL tools, visualization tools, cloud architectures) are expected
  • Certifications such as CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner), or related data analytics certifications are a plus.

Preferred Skills and Experience

  • Experience working in or consulting for financial services clients is highly desirable.
  • Previous consulting experience or experience working with external clients
  • Proficiency in analytics and statistical programming languages (e.g., Python, R, SQL).
  • Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies.
  • Familiarity with machine learning frameworks and cloud-based data platforms is advantageous
  • Experience working on projects using agile development practices
  • Azure experience: building landing zones, provisioning resources, establishing security is a big plus

Key Stakeholders This Role Interacts With

Internal

  • Senior BI Analyst
  • Data Product Manager
  • BI Architect / Senior Architect
  • Data Engineers
  • Analytics Developers (Power BI, Tableau)

External

  • C-Suite Executives (CEO, CFO, CIO, etc.)
  • Clients Operations Leads and Mid-Level Managers
  • Data Owners, Data Stewards
  • Enterprise Information Management and Data Governance Team
  • IT Staff - Architects, DBAs, Developers, etc.

We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.

Our Benefits:

At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you!

How You Can Grow:

We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!

More about Crowe:

Crowe Capability Center - India, operating under the legal entity C3 India Delivery Centre LLP (formerly known as Crowe Horwath IT Services LLP) is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world.

Crowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.

We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role’s responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.

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