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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst - Weekend Shift

Innovative Insights Corp.
Minneapolis
Estimated Salary
USD 30 – USD 38
Live Update
3 Mei 2026
Deadline
3 Mei 2027

Job Description

<p>Are you a data enthusiast looking to make an impact outside of the traditional work week? Innovative Insights Corp. is seeking a skilled and proactive <strong>Data Analyst</strong> to join our dynamic team for <strong>weekend shifts</strong> in Minneapolis, MN. This is an exceptional opportunity for individuals who thrive on discovering insights and delivering actionable intelligence, all while enjoying the flexibility of a part-time schedule.</p><p>At Innovative Insights Corp., we believe that every data point holds a story, and our Data Analysts are the narrators. You will play a crucial role in supporting key business functions by analyzing complex datasets, identifying trends, and providing data-driven recommendations that propel our strategies forward. If you're passionate about data, possess strong analytical skills, and are eager to contribute to a forward-thinking company on weekends, we encourage you to apply!</p>

Responsibilities

  • &lt;ul&gt;&lt;li&gt;Conduct in-depth data analysis to identify trends, patterns, and insights during weekend operational hours.&lt;/li&gt;&lt;li&gt;Develop and maintain dashboards and reports using business intelligence tools to track key performance indicators (KPIs).&lt;/li&gt;&lt;li&gt;Respond to ad-hoc data requests and provide timely, accurate information to support critical weekend decision-making.&lt;/li&gt;&lt;li&gt;Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions.&lt;/li&gt;&lt;li&gt;Ensure data accuracy and integrity by performing regular data quality checks and validation.&lt;/li&gt;&lt;li&gt;Present findings and recommendations clearly and concisely to stakeholders, both verbally and in written reports.&lt;/li&gt;&lt;li&gt;Contribute to the continuous improvement of data analysis processes and methodologies.&lt;/li&gt;&lt;/ul&gt;

Qualifications

  • &lt;ul&gt;&lt;li&gt;Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.&lt;/li&gt;&lt;li&gt;1-3 years of proven experience as a Data Analyst or in a similar analytical role.&lt;/li&gt;&lt;li&gt;Proficiency in SQL for data extraction and manipulation is essential.&lt;/li&gt;&lt;li&gt;Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker).&lt;/li&gt;&lt;li&gt;Advanced Excel skills, including pivot tables, VLOOKUPs, and complex formulas.&lt;/li&gt;&lt;li&gt;Excellent analytical, problem-solving, and critical thinking abilities.&lt;/li&gt;&lt;li&gt;Strong communication skills, with the ability to translate complex data into understandable insights.&lt;/li&gt;&lt;li&gt;Ability to work independently and manage multiple tasks efficiently during weekend shifts.&lt;/li&gt;&lt;/ul&gt;

Required Skills

SQL Data Visualization Excel Python R Business Intelligence Data Modeling Reporting Communication Problem-Solving

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