Data Analyst

GreenLancer

GreenLancer

IT, Data Science
Detroit, MI, USA · Michigan, USA · Detroit, MI, USA
Posted on Nov 13, 2024

Data Analyst

Detroit, MI, USA

Job Type

Full Time

Location

In-person or Hybrid from Detroit, MI

Department

Technology

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.

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

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.

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

About GreenLancer

Since its inception in 2013, GreenLancer has stood at the forefront of the renewable energy movement, successfully enabling over 150,000 homeowners and businesses to adopt solar power. As a pivotal online marketplace, we facilitate seamless connections between solar installers and a specialized network of service providers, enhancing process efficiency and access to solar expertise. Dedicated to pushing the boundaries of renewable energy utilization, our mission is to streamline solar installation operations and minimize the complexities of sourcing solar knowledge.

In a significant expansion of our mission, 2021 marked the launch of our Electric Vehicle (EV)

Infrastructure division, aiming to further electrify the renewable sector. This move complements our 2018 venture into telecommunications with our G-force Platform, which has been instrumental in advancing the 5G and wireless communication industry.

At GreenLancer, we are committed to fostering a diverse and inclusive work environment as an equal opportunity employer. We ensure a fair and equitable consideration for every candidate, regardless of race, color, religion, gender, national origin, disability status, veteran status, or any other protected category, in our employment practices.