Data Analytics Analyst

Overview We are looking for a highly motivated Data Analytics Analyst to join our growing data engineering team. In this role, you will support client analytics engagements by assisting with data processing, analysis, and validation activities under the guidance of senior team members. You will work closely with advisory and delivery teams to help load, analyze, and interpret large and complex datasets across a variety of client environments. The ideal candidate is intellectually curious, detail-oriented, eager to learn, and comfortable working in a fast-paced, professional services environment. Responsibilities • Support analytics work for one to two concurrent client engagements, completing assigned tasks and deliverables under the direction of senior team members. • Assist in identifying business questions and the analytics required to support client insights. • Load, analyze, and profile client data to understand data quality, structure, and transformation needs. • Participate in client data calls to understand data requirements and document inputs, questions, and follow-ups. • Use Python and Azure Databricks to support one-time client data loads into proprietary tools during early project phases. • Assist delivery teams in creating and running analyses on large, complex datasets. • Partner with advisory team members to support hypothesis development and validation through analytics. • Document technical requirements and support senior team members in defining automation needs for client data pipelines. • Support the Data Automation team by clarifying requirements, testing outputs, and validating data accuracy. • Collaborate with internal stakeholders to help resolve data-related questions, issues, and basic technical challenges. • Assist in reviewing the scope, effort, and complexity of assigned analytics tasks. • Troubleshoot and escalate data issues, bugs, or inconsistencies with guidance from senior team members. Qualifications Education Bachelor's degree in Computer Science, Data Analytics, Statistics, Information Systems, or related field. Four (4) years of directly relevant experience as a Database Developer, ETL Developer, BI Developer or equivalent role may be considered in lieu of a degree. Work Experience Minimum: Relevant experience in data analytics, business intelligence, or data consulting gained through employment, coursework, academic research, or internships. Preferred: One (1) year of experience in data analytics, business intelligence, or related field, working directly with clients in a professional services environment. Required Skills, Knowledge, and Abilities Minimum: • Ability to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. • Understanding of core data concepts - schemas, storage methods, data types, basics of matrix mathematics. • Experience with object-oriented/object function scripting languages such as Python • Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management. • Strong analytic skills related to working with structured and unstructured datasets. • Ability to communicate effectively with both technical and non-technical audiences. • Ability to work autonomously as well as part of a team. • Exceptional work ethic, judgment, business acumen, attention to detail, analytical skills, and problem-solving skills with the ability to make informed decisions. • Excellent verbal and written communication skills with the ability to simplify technical concepts and present to senior-level executives. Preferred: • Thorough understanding of core pricing concepts - price measurement, modeling fundamentals, price/margin walks, peer grouping, customer/product hierarchies, indexing, etc. • Experience with big data tools such as Hadoop, Spark, Kafka, etc. • Ability to mentor, teach, and lead others. • Working knowledge and experience with Azure data ecosystem including Azure Data Factory (ADF), Azure Databricks, Azure SQL, and other components. Benefits & Dynamic Rewards: Enjoy industry-leading benefits and programs designed to enhance wellness and support work-life harmony. Specifically, we offer a comprehensive benefits package including medical, dental and vision coverage (available from your start date), a 401(k) plan with company contribution, generous paid time off, and a range of professional development opportunities including a tuition reimbursement program. Eligible employees may also participate in annual merit increases and long-term incentive program. You'll enjoy far-reaching rewards at INSIGHT. Competitive compensation and benefits, a Long-Term Incentive Plan that creates shared financial benefits from company growth, and an attractive bonus system, are just the beginning at an organization that ranks as an Inc. Best Workplaces 2023, and among the Inc. 5000 list of fastest-growing private U.S. companies. INSIGHT offers an appealing environment for self-directed individuals who embrace opportunity in all areas of work and life. If you are seeking the excitement of an entrepreneurial organization with a track record of accomplishment and phenomenal growth, take a closer look at INSIGHTCareer breakthroughs like this don't come along every day. Apply and tell us how you'll help us shape the direction of a booming industry. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities, and activities may change or be assigned at any time with or without notice. INSIGHT2PROFIT is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. INSIGHT2PROFIT is interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas. This includes individuals with OPT or STEM OPT.

Created: 2026-03-10