Job Overview

The Business Intelligence Engineer shall apply specialized knowledge of modern analytics stack including Microsoft Azure Stack, Python, R, Excel, PowerBI, Databricks, and Snowflake to conceptualize, design, develop, unit-test, configure, and implement business intelligence and data insight solutions. The person will interact with internal and external customers, be responsible for generating documentation as needed; conform to security and quality standards; and stay current on emerging trends.

For a successful candidate for this position, you must -

· Leverage architect skills to discern, unlock, and communicate insights to decision-makers at all levels of the business.

· Be comfortable with researching data questions, identifying root causes, and interacting closely with business users and technical resources on various data-related decisions.

· Have experience in creating robust and automated pipelines to ingest and process structured and unstructured data sources into analytical platforms using batch and streaming mechanisms.

· leveraging a cloud-native toolset.

· Leverage the right tools for the right job to deliver testable, maintainable, and modern data solutions.

· Aspire to be efficient, thorough, and proactive.

Responsibilities and Duties

· Analyze data to deliver actionable insights to support and drive operational and strategic, advancements across the organization.

· Write dashboards and reports that are intuitive, clear, clean, and easy to understand.

· Document requirements and translate them into proper system requirements specifications using high-maturity methods, processes, and tools.

· Execute and coordinate requirements management and change management processes.

· Participates as a member of and leads development teams.

· Designs, prepares, and executes unit tests.

· Completes development to implement complex components.

· Participates in cross-functional teams.

· Designs, prepares, and executes unit tests.

· Represents team to clients.

· Demonstrates technical leadership and exerts influence outside of the immediate team.

· Develops innovative team solutions to complex problems.

· Contributes to strategic direction for teams.

· Applies in-depth or broad technical knowledge to provide maintenance solutions across one or more technology areas (e.g. Power BI and Power App development).

· Integrates technical expertise and business understanding to create superior solutions for clients.

· Consults with team members and other organizations, clients, and vendors on complex issues. Special projects as requested.

· Performs other duties as assigned.

Qualifications

· Bachelor’s degree in a related field preferred. An equivalent combination of education and experience may be substituted in lieu of a degree. A master’s degree in analytics, data science or a related field a plus.

· 5 years of proven experience in data architecture, preferably related to U.S. healthcare, using core data analysis tools and languages such as SQL, Python, R, and Excel.

· 5 years of experience with Big Data technologies including Databricks, Pyspark, Python, and varying types of Azure Storage.

· 5 years of Microsoft Power BI, Tableau or similar experience.

· 5 years of performing data engineering/ETL operations, preferably with Azure Data Factory.

· 7 years of data warehouse experience, preferably with the Snowflake data platform.

· 7 years of experience in SQL and be able to write complex logic using SQL as part of ETL, and use SQL effectively to perform complex data analysis and discovery.

· Demonstrate strong organization skills and detail-oriented.

· Experience with CMD shell and Power Shell

· Experience with large-scale, complex data environments.

· Ability to self-motivate and meet dead lines.

· Intense desire to learn.

· Ability to express complex technical concepts effectively, both verbally and in writing.

· Ability to multi-task in a fast-paced, changing environment.

· Ability to maintain confidentiality.

Job Type: Full-time

Salary: $100,000.00 - $120,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance

Experience level:

• 10 years
• 11 years
• 7 years
• 8 years
• 9 years

Schedule:

• 8 hour shift
• Monday to Friday

Ability to Relocate:

• Dallas, TX: Relocate before starting work (Required)

Work Location: In person