Senior Consultant Data Analyst

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Consultant Data Analyst in the United States. This role sits at the intersection of data analytics, consulting, and digital product delivery, supporting clients in transforming complex business challenges into actionable, data-driven solutions. You will work closely with cross-functional stakeholders, including business users, engineers, and data scientists, to translate requirements into meaningful analytical outputs. The position involves hands-on work with SQL, data modeling, and visualization tools to generate insights that drive strategic decisions. You will contribute across the full lifecycle of data initiatives, from discovery and definition to implementation and reporting. Operating in an agile and collaborative environment, you will help shape scalable, sustainable solutions. This role is ideal for a consultant who thrives in client-facing environments and enjoys turning data into measurable business impact.
• Accountabilities: Gather, analyze, and interpret business requirements by collaborating with stakeholders across technical and non-technical teams. Translate business questions into analytical solutions using relational databases, data modeling, and SQL-based querying. Develop and optimize complex SQL queries to extract, transform, and analyze large datasets. Design and maintain data models, entity relationship diagrams, and process documentation. Cleanse, transform, and prepare datasets using tools such as SQL, Python, or R. Build dashboards and reports using visualization tools such as Tableau or Power BI to communicate insights effectively. Present findings and insights to clients and stakeholders in a clear, structured, and actionable manner. Support agile delivery processes and contribute to documentation of analytical methods and outcomes. Requirements: 3+ years of experience in data analysis, IT, consulting, or a related field. Strong hands-on SQL skills with experience writing intermediate to advanced queries. Experience with data visualization tools such as Tableau or Power BI. Familiarity with relational databases, data architecture, and data modeling concepts. Experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure is a plus. Knowledge of statistical methods and experience using analytical or statistical packages is an advantage. Strong analytical thinking and ability to solve complex, ambiguous business problems. Excellent communication skills with the ability to present technical insights to diverse audiences. Proficiency in Microsoft Excel and PowerPoint for reporting and presentations. Exposure to Agile methodologies and collaborative delivery environments is preferred. Benefits: Competitive compensation with bonus eligibility from day one Comprehensive medical, dental, and vision insurance with multiple plan options Health savings account contributions and specialized coverage options Paid parental leave (8 weeks) Flexible remote and hybrid work arrangements Paid vacation, federal holidays, and floating holidays Annual internet reimbursement for remote work support Access to modern technology through structured device upgrade programs Professional development support, including paid training, certifications, and conferences Wellness benefits including mental health support, Headspace membership, and Talkspace access Employee assistance and backup care support services
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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