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Data Analyst 3

2 hours, 22 minutes ago
United States
Full-time
Senior
Data Analyst
Data Science and Analytics
Apache Airflow AWS Azure dbt GCP Git Google Analytics HubSpot Looker Machine Learning MongoDB MySQL NumPy Pandas Power BI Python Salesforce SQL Tableau
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SkySlope

SkySlope

SkySlope is an industry-leading real estate transaction management software provider based in Sacramento, California. They offer a full suite of solutions, including mobile accessibility, secure cloud storage, and paperless transaction processing, to s...

Internet Software & Services
251-1K
Founded 2009
View All Jobs 2

Description

  • Query, extract, and transform data from multiple sources across MS SQL Server, MySQL, and MongoDB to support business needs.
  • Build and maintain automated reports, dashboards, and data pipelines that reduce manual effort and improve data accessibility.
  • Partner with cross-functional teams to understand goals and proactively deliver analytical insights that drive action.
  • Identify patterns, trends, anomalies, and opportunities in data sets and communicate findings to technical and non-technical audiences.
  • Develop and maintain Python scripts for data automation, transformation, reporting, and analysis.
  • Contribute to improvements in data infrastructure, documentation, and analytical best practices.
  • Explore and apply AI-powered tools and techniques where they add clear value to existing workflows.

Requirements

  • 5+ years of experience in a data analyst or similar role with progressive responsibility.
  • Advanced SQL proficiency across MS SQL Server and MySQL, including complex joins, stored procedures, query optimization, and cross-database work.
  • Python proficiency for scripting, data manipulation, and automation, including pandas, NumPy, or similar libraries.
  • Experience with BI and visualization tools such as Tableau, Power BI, Looker, or similar platforms.
  • Solid understanding of data warehousing concepts, data modeling, and ETL/ELT processes.
  • Strong communication skills with the ability to translate analytical findings into clear, actionable recommendations for stakeholders.
  • Self-directed mindset with a demonstrated history of going beyond ad hoc requests to proactively surface insights and improve processes.
  • Familiarity with cloud platforms such as Azure, AWS, or GCP is preferred.
  • Exposure to machine learning concepts or AI-assisted analytics tools is preferred.
  • Experience with A/B testing, statistical modeling, or causal inference is preferred.
  • Knowledge of version control with Git and collaborative development workflows is preferred.
  • Statistics, data science, or related degree or certification is preferred, with equivalent experience welcomed.
  • MongoDB experience, including aggregation pipelines and working with unstructured or semi-structured data, is preferred.
  • Experience with data orchestration or transformation tools such as dbt, Apache Airflow, or similar is preferred.
  • Familiarity with product and web analytics platforms such as Heap and/or Google Analytics is preferred.
  • Exposure to tools such as Chameleon, HubSpot, or Salesforce is a bonus but not required.
  • Real estate industry knowledge and/or experience is preferred.
  • Experience mentoring junior analysts or leading small-scale analytical projects is preferred.

Benefits

  • $100,000 to $120,000 annual salary.
  • Medical insurance with three plan options through UnitedHealthcare, with company premium contributions.
  • Dental insurance with the company paying 75% of the base plan premium.
  • Vision insurance with the company paying 100% of the monthly premium.
  • Basic life and AD&D insurance paid by the company, with voluntary coverage options available.
  • Optional short- and long-term disability, accident, hospital indemnity, and critical illness coverage.
  • Flexible spending account and health savings account, including a company HSA contribution of $300 for individuals and $600 for families.
  • 401(k) plan with company match of $0.50 per $1.00 contributed up to 6% of eligible earnings.
  • Employee stock purchase plan with a company match equal to 33.3333% of contributed dollars.
  • 120 hours of PTO for new hires, plus 16 paid holidays.
  • Bereavement leave, paid parental leave of up to six weeks, and access to Dayforce Wallet for on-demand pay.
  • Pet insurance discounts, employee referral bonuses, and education and consumer discounts through partner programs.

Interested in this position?

Apply directly on the company website

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