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GreenLancer

Data Analyst (m/w/d)

成为美国底特律GreenLancer的数据分析师。专注于查询数据库、生成可视化洞察和创建交互式仪表板。享受全面的福利和灵活的远程或办公室工作选项。
GreenLancer
GreenLancer
底特律,美国   灵活   全职  UTC-05:00

GreenLancer

公司概况

GreenLancer

美国

2012

商业模式

可再生能源

提供太阳能设计和工程服务

项目设计服务费、咨询服务费

地点与地理

美国、加拿大、墨西哥

公司文化

致力于推动可再生能源的普及与应用

开放、协作、创新

提供培训和职业发展机会

活动与项目

正在进行多个太阳能项目的设计与实施

开发新的太阳能设计软件

采用环保材料和节能技术

职业机会

太阳能设计师、项目经理、销售代表

健康保险、退休计划、灵活工作时间

联系信息

无可用链接

GreenLancer的职业机会


最后更新于 2025-01-31 | 报告问题

Job Description

The Data Analyst will be responsible for meeting the data and analysis needs of the entire organization. The primary focus of this role is to query databases, generate visual insights, and create interactive dashboards and reports using powerful data visualization tools. The insights provided by the Data Analyst will directly impact decision-making processes across various teams, including Sales, Production, and the Executive team.

Responsibilities

  1. Querying Databases: Utilize expertise in SQL and other query languages to extract, transform, and analyze data from diverse databases, ensuring accuracy, efficiency, and security.
  2. Visual Insight Generation: Analyze large datasets to identify patterns, trends, and relationships, and transform complex data into actionable visual insights that support decision-making processes.
  3. Dashboard and Report Creation: Develop interactive dashboards and reports using data visualization tools such as JQuery, Tableau, Power BI, or similar tools, ensuring user-friendly and visually appealing representations of data.
  4. Data Analysis: Conduct in-depth analysis of sales data, production metrics, and other relevant data sets to identify opportunities for process optimization, cost reduction, and revenue enhancement.
  5. Collaborative Partnerships: Work closely with cross-functional teams, including Sales, Production, and the Executive teams, to understand their data and analysis needs and provide timely and accurate reports, dashboards, and ad hoc analyses.
  6. Data Integrity and Quality Assurance: Implement data governance practices and ensure data accuracy, consistency, and reliability throughout the data analysis process. Conduct data quality assessments and troubleshoot data-related issues.
  7. Continuous Improvement: Stay updated on emerging trends, techniques, and best practices in data analysis and visualization. Proactively identify opportunities to enhance data analytics processes and provide recommendations for improvement.
  8. Collaboration: Work closely with the Sales, Production, and Executive teams to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
  9. Professional Analysis: Proactively analyze data to answer key questions for stakeholders before they ask, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity.
  10. Connect Databases: Define and implement data acquisition and integration logic, collaborating with Developer resources to develop an appropriate combination of methods and tools within the defined technology stack to ensure data integrity and performance of the solution.
  11. Aggregate real-time data: Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will automate our data evaluation process more flexible or scalable across datasets.

Job Qualifications

  • Three or more years of experience mining data as a data analyst.

  • Proven analytical skills, including mining, evaluation, and visualization.

  • Technical writing experience in relevant areas, including queries, reports, and presentations.

  • Strong SQL or Excel skills, with aptitude for learning other analytics tools.

  • Data Analyst preferred competency or certificates:

    • 1: Frameworks, including XML, JavaScript, and ETL
    • 2: Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS
    • 3: Database and model design and segmentation techniques
  • Preferred skills and qualifications

    • Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics
    • Experience with database and model design and segmentation techniques
    • Strong programming experience with frameworks, including XML, JavaScript, and ETL
    • Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS
    • Proven success in a collaborative, team-oriented environment

Other Benefits

  • Comprehensive benefits including health, dental, and vision insurance.
  • Competitive base compensation & performance-based bonus structure.
  • Paid time off, bereavement, sick days, and family leave.
  • Cell phone allowance and/or reimbursement for car mileage car allowance.
  • Work remote from your home or our downtown office.
  • Provided Laptop, monitors, Telephones (VOIP), standup desk.
  • Flexible working schedule with proper coordination.

关于这个角色

2025年1月12日

全职

公司

2025年3月27日

灵活

GreenLancer

  •  底特律,美国

Three or more years of experience

UTC-05:00

立即申请

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