Data Analyst - Data Driven Detroit

What <\/span> <\/span> <\/span> <\/b>
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Data Driven Detroit (D3) has partnered with Mondo Unlimited to seek an experienced and enthusiastic individual to join the team as a Data Analyst!<\/b> This is a full\-time, salaried position, with a starting salary range of $48,000 \- $55,000<\/b> per year. <\/span> We offer a number of benefits, including: <\/span> <\/span> <\/span>
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• A flexible 32\-hour work week <\/b> ; <\/span> <\/span>
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• 4 weeks of paid time off <\/span> <\/span> <\/b> per year; <\/span> <\/span>
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• Access to group health, dental, and vision insurance; <\/span> <\/span>
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• A 401(k) profit\-sharing plan <\/b> ; <\/span> <\/span>
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• Paid contingency leaves (parental, caregiving, jury duty, etc.); and <\/span> <\/span>
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• A strong commitment to work\-life balance <\/b> <\/span> <\/span>
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  This is primarily a remote <\/b> position, with occasional attendance at in\-person meetings or events. A desk in the D3 office is available should the selected candidate wish to work partially or entirely in\-person. <\/span> <\/span> <\/span>

  
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  At D3, we’re dedicated to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our teammates are critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. D3 does not conduct criminal background checks on prospective team members. <\/b> <\/span> <\/span> <\/span>
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  We expect this position to start in January\/February 2026. Detroit residents and candidates who identify as Black, Indigenous, or People of Color are strongly encouraged to apply. <\/b> <\/span> <\/span> <\/span>
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  Why <\/span><\/span><\/span><\/b>

  
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  ​<\/span><\/span><\/span><\/b> At D3, we work every day to improve access to information <\/b> in Metro Detroit. Our efforts are led by our analytical team, who collaborates on a variety of projects to answer our partners’ questions. <\/span> This team has diverse skillsets, that range from programming databases to conducting quantitative analysis. <\/span> The Data Analyst <\/b> will join this team, serving in a translating role between its research\- and database\-oriented components. <\/span> <\/span> <\/span>

  
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  If you’re selected for this job, you’ll join a fast\-paced, dynamic <\/b> working environment where ideas and suggestions are welcomed, and critical thinking is strongly encouraged. Your typical days will include: <\/span> <\/span> <\/span>

  
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  • Regular collaboration with your co\-workers on an ever\-evolving suite of projects <\/b> <\/span> <\/span> <\/span> <\/span> <\/span> <\/span>
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  • Cleaning, transforming, and analyzing data <\/span> <\/span> <\/span> <\/b> <\/span> <\/span> <\/span>
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  • Creating data visualizations such as <\/span> <\/span> charts and interactive maps <\/b> <\/span>
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  • Supporting D3’s outreach and engagement programs <\/b> <\/span> <\/span> <\/span> <\/span> <\/span>
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  • Helping to strengthen and streamline <\/b> our internal infrastructure. <\/span> <\/span> <\/span> <\/span> <\/span>
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    Where <\/span> <\/span> <\/span> <\/b>
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    Founded in 2009, Data Driven Detroit (D3) is a low\-profit, worker\-owned social enterprise <\/b> pursuing our mission of providing accessible, high\-quality analysis <\/b> to drive informed decision\-making. <\/span> <\/span> <\/span>
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    We value <\/b> unbiased access to unbiased data. <\/span> <\/span> <\/span>

    
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    We exist <\/b> to provide equitable access to information and help our community make better decisions. <\/span> <\/span> <\/span>

    
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    We serve <\/b> anyone seeking information to make more informed decisions, including nonprofit organizations, foundations, universities, governments, businesses, and individuals. <\/span> <\/span> <\/span>

    
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    We believe <\/b> that behind every data point is a living, breathing person. <\/span> <\/span> <\/span>

    
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    Who <\/span> <\/span> <\/span> <\/b>
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    Qualifications <\/span> <\/span> <\/span>
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    • 3+ years <\/span> <\/span> <\/b> of relevant professional experience in the fields of Data Science, Information Science, Urban Informatics, or the Social Sciences <\/span> <\/span>
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    • Demonstrated proficiency in data analysis using Microsoft Excel <\/b> and experience working with structured datasets (e.g., database tables, CSVs)<\/span> <\/span>
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    • Familiarity with SQL <\/b> (e.g., PostgreSQL) or programming languages like Python <\/b> <\/span> <\/span>
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    • Experience with data visualization <\/b> tools such as Tableau <\/span> <\/span>
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    • Familiar with geographic and spatial analysis <\/b> <\/span> <\/span>
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    • Familiar with social science datasets <\/b> , including the U.S. Census and American Community Survey <\/span> <\/span>
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    • Able to communicate technical concepts <\/b> to a non\-technical audience <\/span> <\/span>
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    • Flexibility in adjusting workflow based on project needs <\/span> <\/span>
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    • Willing to explore innovative, efficient solutions <\/b> to problems <\/span> <\/span>
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    • Able to manage individual deadlines and tasks <\/b> as part of a project team <\/span> <\/span>
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    • Curious <\/span> <\/span> <\/b> about data and answering questions <\/span> <\/span>
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    • Able to work effectively with people across racial, cultural, gender, and other identity characteristic differences <\/span> <\/span>
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    • Lived experience and\/or service that provides perspectives that support D3 in our mission, especially in serving populations that are under\-represented in society at large <\/span> <\/span>
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      How <\/span> <\/span> <\/span> <\/b>
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      All interviews will be conducted remotely <\/b> . <\/span> If you need assistance or an accommodation due to a disability, please contact us at <\/span> <\/span> [email protected] <\/span> <\/span> <\/a> . <\/span> <\/span>
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      Thank you! We look forward to reviewing your materials!<\/b> <\/span> <\/span>

      
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