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Data Analyst IIHeavy Construction Systems Specialists Inc • United States
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Data Analyst II

Heavy Construction Systems Specialists Inc
  • US
    United States
  • US
    United States
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À propos

We are HCSS. For the last 40 years, we have been developing software to help construction companies streamline their operations. Based in Sugar Land, TX, our mission is helping customers achieve excellence through our proven customer-centric, end-to-end solutions and exceptionally helpful service, while providing a great life for our employees. With this mission at the core of everything we do, HCSS is a pioneer and leader in the construction software space and a consistently recognized employer. We have earned Best Companies to Work for in Texas honors for 18 consecutive years and have been named a USA Today Top Workplace. HCSS has also been recognized by Built In as a Best Place to Work in Greater Houston and by Construction Executive for our technology innovation, reflecting our strong culture, industry leadership, and commitment to excellence.
WHO WE NEED:
We are seeking a detail-oriented Data Analyst with 3+ years of experience in data analysis to support our data-driven decision-making processes. The ideal candidate will have strong analytical skills, proficiency in data visualization tools, and a passion for uncovering insights from complex datasets. As a Data Analyst, you will work closely with cross-functional teams to provide actionable insights and support business strategies.
Qualifications:
* Bachelor's degree in Business Intelligence, Computer Science, Statistics, or a related field. * Proficiency in Power BI, DAX, and Power Query. * Proficiency in Power BI Report Builder. * Experience with cloud data platforms, primarily Microsoft Fabric. * Knowledge of SQL and experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL). * Familiarity with version control tools (e.g., Git), CI/CD pipelines. * Excellent problem-solving abilities and attention to detail. * Strong communication and collaboration skills to work with cross-functional teams.
Preferred Qualifications:
* Experience with Python, Java, or Scala for data processing and automation tasks. * Experience with ETL tools and frameworks. * Knowledge of machine learning concepts and tools. * Certifications in data analytics or related fields (e.g., Microsoft Certified: Data Analyst Associate, AWS Certified Data Analytics).
Role Responsibilities:
* Requirements gathering. Gather and understand customer requirements to provide analytical support tailored to their reporting needs. * Reports development. Develop and maintain dashboards and reports to communicate findings to stakeholders. * Data Integration. Collaborate with data engineers and other teams to ensure data quality and integration across multiple sources. * Data Visualization. Create compelling visualizations to present data insights in an easily understandable manner. * Data Governance. Ensure data accuracy, consistency, and security in all analysis and reporting activities. * Collaboration. Work closely with stakeholders, product managers, and department leaders to gather requirements and deliver data solutions that drive business insights. * Continuous Improvement. Stay updated with the latest trends and best practices in data analysis and visualization.
Travel Requirements:
* Occasional travel to our office may be requested up to once or twice a year
BENEFITS & PERKS:
Part of our mission is to provide a great life for our employees. We believe that when our people are happy, they do their best work. Some of the benefits and perks we offer include:
* Flexible hybrid schedule * Medical, dental, and vision coverage with company-paid and employee-paid options * Paid holidays, sick days, and personal time off * Employee Resource Groups (ERGs) that foster connection and inclusion * On-site amenities including a covered basketball court, soccer field, track, pickleball/tennis courts, gym, etc. * Dog-friendly campus and WiFi-accessible courtyards * 401(k) with a 5% company match * Coverage for employee professional development and wellness * And more!
  • United States

Compétences linguistiques

  • English
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