Analyst Job at Mindlance in Denver

Analyst
POSITION IS HYBRID. 3 days in the office
Full Time
Bill rate clarification: desired rate for employee is ***

Overview: We are seeking a highly skilled and motivated Data Engineering Analyst to join our dynamic team. As a Data Engineering Analyst, you will play a critical role in managing and analyzing our organization's data infrastructure. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines, ensuring the availability, reliability, and efficiency of our data systems and deliver a dashboard capturing KPI's for stakeholders. The ideal candidate will possess a strong background in data engineering, analytics, and programming, along with excellent problem-solving abilities and a passion for leveraging data to drive business insights. Key Responsibilities: • Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field. • Proven experience in data engineering, data analysis, or a related role, preferably in a fast-paced, technologydriven environment. • Proficiency in programming languages such as Python, SQL, or Java, and experience with data manipulation and transformation frameworks (e.g., Pandas, Spark). • Strong understanding of database technologies (e.g., SQL, NoSQL, BigQuery), data warehousing concepts, and cloud platforms (e.g., AWS, Azure, GCP). • Experience with data integration tools (e.g., Apache NiFi, Talend, Informatica) and workflow management systems (e.g., Apache Airflow, Luigi). • Familiarity with data visualization and BI tools (e.g., Tableau, Power BI) is a plus. • Prior experience with Smartsheet, Air Table, Power Query, and Sharepoint for data organization, tracking, and collaboration is highly desirable. • Collaborate and communicate with data and scorecard stakeholders and other non-technical teammates to work through technical requirements. • Detail-oriented mindset with a focus on data quality, accuracy, and consistency. • Manage competing priorities aligned to desired outcomes in a dynamic environment. • Respond to ad hoc requests. Qualifications: • Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field. • Proven experience in data engineering, data analysis, or a related role, preferably in a fast-paced, technologydriven environment. • Proficiency in programming languages such as Python, SQL, or Java, and experience with data manipulation and transformation frameworks (e.g., Pandas, Spark). • Strong understanding of database technologies (e.g., SQL, NoSQL, BigQuery), data warehousing concepts, and cloud platforms (e.g., AWS, Azure, GCP). • Experience with data integration tools (e.g., Apache NiFi, Talend, Informatica) and workflow management systems (e.g., Apache Airflow, Luigi). • Familiarity with data visualization and BI tools (e.g., Tableau, Power BI) is a plus. • Excellent analytical, problem-solving, and communication skills, with the ability to collaborate effectively across teams and communicate technical concepts to non-technical stakeholders. • Detail-oriented mindset with a focus on data quality, accuracy, and consistency. • Strong organizational skills and the ability to manage multiple tasks and priorities in a dynamic environment. • Prior experience with Smartsheet, Air Table, Power Query, and Sharepoint is highly desirable due to the specific data organization, tracking and collaboration requirements of the role.

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."