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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! 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.
Associate Consultant - Data & AI
Location
United States
Posted
98 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
Associate Consultant - Data & AI
Jobgether
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role provides an exciting entry point for individuals seeking to launch a career in data and AI consulting. You will participate in a structured, immersive training program that builds expertise in Microsoft Data Platforms, followed by hands-on work supporting client projects. As an Associate Consultant, you will contribute to all aspects of project delivery, from data integration and analytics to report building and process improvement. The position offers exposure to diverse clients and projects, fostering rapid skill development in data engineering, business intelligence, and cloud technologies. You will collaborate closely with technical teams and business stakeholders to implement practical solutions, while continually upskilling and contributing to innovation within the team. This role combines technical execution, client engagement, and professional growth in a dynamic and supportive environment. - Participate in requirements gathering and document business and technical needs - Support data mapping, dimensional modeling, and data integration pipelines using SQL, Python, DAX, and related tools - Build and maintain Power BI reports and visualizations for business insights - Assist in hands-on implementation of Microsoft data solutions and Agile project delivery - Conduct working sessions with clients and address ad hoc requests, communicating findings clearly - Track and estimate tasks using Azure DevOps, contributing to version control and validating data pipeline performance - Engage in ongoing training, certifications, and knowledge sharing to support team growth and pre-sales activities - Travel occasionally (~10%) to support client needs or onsite activities Qualifications - 0–2 years of experience in data analytics, including SQL, ETL pipelines (ADF/SSIS), and Power BI or equivalent tools - Exposure to implementing data solutions for business problems - Knowledge of relational databases, data structures, and object-oriented design - Strong analytical, problem-solving, and communication skills - Professional business demeanor and customer-focused attitude - Bachelor’s degree in Computer Science or a related field, or equivalent experience - Familiarity with Microsoft ERP/CRM tools and Kimball dimensional modeling desirable - Commitment to continuous learning, mentoring teammates, and driving quality solutions - Creativity and ability to generate new ideas and innovative approaches Benefits - Unlimited Paid Time Off (UPTO) for work-life balance - 401(k) plan with company match - Monthly home office stipend - Subsidized medical, dental, and vision coverage - Health Savings and Flexible Spending Accounts - Company-paid life and disability insurance - Support for training, certifications, and continuing education - Exposure to a dynamic, performance-oriented work culture with opportunities for professional growth
Job Requirements
- 0–2 years of experience in data analytics, including SQL, ETL pipelines (ADF/SSIS), and Power BI or equivalent tools
- Exposure to implementing data solutions for business problems
- Knowledge of relational databases, data structures, and object-oriented design
- Strong analytical, problem-solving, and communication skills
- Professional business demeanor and customer-focused attitude
- Bachelor’s degree in Computer Science or a related field, or equivalent experience
- Familiarity with Microsoft ERP/CRM tools and Kimball dimensional modeling desirable
- Commitment to continuous learning, mentoring teammates, and driving quality solutions
- Creativity and ability to generate new ideas and innovative approaches
Benefits
- Unlimited Paid Time Off (UPTO) for work-life balance
- 401(k) plan with company match
- Monthly home office stipend
- Subsidized medical, dental, and vision coverage
- Health Savings and Flexible Spending Accounts
- Company-paid life and disability insurance
- Support for training, certifications, and continuing education
- Exposure to a dynamic, performance-oriented work culture with opportunities for professional growth
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JobgetherWe 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! 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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