[Remote] Data Analyst
Note: The job is a remote job and is open to candidates in USA. Alpine Solutions Group is seeking a Data Analyst to partner with business stakeholders and engineering teams to understand business objectives, system processes, and available data. The role focuses on data discovery, exploratory analysis, advanced SQL, Databricks-based analytics, requirements documentation, data quality, backlog management, and supporting reporting and visualization initiatives.
Responsibilities
- The Data Analyst partners with business stakeholders to understand system processes, business objectives, and the data available across various systems
- They conduct data discovery and exploratory analysis to identify, validate, and clean data, determine where usage and other business-critical information is stored, and assess whether existing data meets business needs or requires additional sourcing
- They translate business requirements into clear, actionable requirements for analytics and data engineering teams, identifying specific data fields, sources, transformations, and processes needed to move data into production
- They use advanced SQL, including CTEs and recursive query patterns, to extract, analyze, and optimize data while ensuring queries are accurate, efficient, and maintainable
- They serve as a data expert within Databricks, bringing data together for analytics and visualization while proactively investigating data quality issues and making complex or messy data usable
- They manage and communicate progress against a project backlog, follow up with engineering teams on project updates, and work independently when requirements are vague or evolving
- They document assumptions, processes, findings, and requirements to ensure clarity and consistency across teams
- They support usage-based analytics and collaborate with Power BI and analytics teams to deliver reporting and visualizations, with hands-on Power BI experience serving as a strong plus
Skills
- 5+ years in a data analyst role
- Very strong with SQL- must understand CTEs, recursive query patterns, understanding performance is paramount, knowing sql well enough to tune equerries to optimize perofmrance and make quqeries easy to read
- Strong experience taking business requirements and then translating to actionable steps for analytics engineers/data engineers
- Ability to build structured business requirements based off of the data from exploratory work they're doing, gather requirements from business
- Experience with documentation- especially with documenting assumptions and their process
- Experience working within Databricks to then send to analytics engineers for visualization layer
- Understands high level business objectives + experienced in working with very vague business requirements
- Experience working with a backlog
- Experience working with data engineers and analytics engineers and giving/asking for updates from them
- Not afraid to jump in, make messy data clean + Experience being curious and proactive about the data
- Powerbi visualization experience or visualization experience in general
- Data modeling- great not fully required
Company Overview