Enterprise Data Analyst
Las Vegas, NV, United States
AMH
AMH homes offers welcoming rental homes maintained by industry-leading service professionals for a superior residential experience.
Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work®. At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life.
The Enterprise Data Analyst is responsible for analyzing and reporting on data from data warehouses. Activities include analyzing and interpreting collected data; spotting trends; creating reports, dashboards, scorecards, and tailored datasets for self-service reporting; engaging with and making recommendations to stakeholders; leveraging data to answer important business questions and inform business decisions; data modeling. Interacts regularly with internal stakeholders to translate business requirements into well-documented, technical solutions. Performs quality review of developed solutions and ensures proper user acceptance.
Responsibilities:
- Utilizes business intelligence tools (Power BI, Tableau, SQL, Data Bricks, etc.) to develop analytical content including reports, dashboards, semantic models, and data sets. Supports end-user adoption of reporting and creation of documentation as needed.
- Utilizes relational database and data warehouse design skills to codify business logic in SQL to meet reporting requirements for all areas of operation.
- Collaborates with business unit owners to elicit requirements using interviews and data analysis, develop and/or improve work product, and create new features in existing report packages.
- Works to proactively identify data quality issues, debug erroneous logic and perform QA validations.
- High school diploma or GED required.
- Bachelor’s degree in computer science, mathematics, finance, accounting, economics, statistics, business management, information systems and/or related preferred.
- Minimum five (5) years’ experience working with Business Intelligence, Analytics, Financial Reporting Data Warehousing technologies, and/or related required.
- Minimum five (5) years’ experience utilizing proven requirements gathering and business analysis techniques required; must have a complete understanding of the business intelligence development life cycle including the ability to conduct interviews and gather the needs for desired outcomes for the BI solutions being built.
- Intermediate experience querying relational databases and data warehouses (such as SQL Server, Databricks, Snowflake, etc.) required.
- Advanced Microsoft Excel experience required including writing and using advanced functions and formulas (e.g., lookup & reference, nested logical expressions, aggregation, etc.) as well as advanced Excel features (e.g., conditional formatting, data validation, pivot tables, external data connections)
- Working knowledge of Microsoft Office (Outlook, Word) required.
- Working knowledge of Tableau or Power BI highly preferred.
- Excellent verbal and written communication and problem-solving skills.
- Strong business analysis skills and technical aptitude.
- Must be able to multi-task.
- Must be able to use discretion and independent judgement.
- Must be able to implement process improvement changes.
- Must be able to work in a team environment.
- Must be able to pay close attention to details.
- Must be able to adapt and flex to a changing environment.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Category:
Analyst Jobs
Tags: Business Intelligence Computer Science Data analysis Databricks Data quality Data warehouse Data Warehousing Economics Excel Finance Mathematics Power BI Privacy RDBMS Snowflake SQL Statistics Tableau
Perks/benefits: Career development
Region:
North America
Country:
United States
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