Senior Data Analyst

<strong><strong>You're the best at what you do. So are we. Imagine what we can achieve together!<br /><br /></strong></strong><p><strong>Check out our benefits &ndash; <a href="https://docs.secumd.org/about-secu/employment/2022SECUBenefitsGuide.pdf" target="_blank" rel="noopener noreferrer">SECU 2022 Benefits Guide</a></strong></p>

Linthicum, MD

SECU

<p><strong>We value your experience. We listen to your ideas. We know you&rsquo;re going to bring something new and different to our organization that enhances our ability to grow as individuals as much as it will allow us to better serve our members.</strong><br /><br /><strong>Whatever your role at SECU, everything you do contributes to our success&mdash;and that, in turn, fulfills a greater purpose: to improve people&rsquo;s lives. This is a true opportunity to make a difference. </strong><br /><br /><strong>We are committed to nurturing your continued long-term success within our organization, because as you develop your skill sets and deepen your professional experiences, you will further our greater purpose of making a positive contribution to the financial well being of those we serve. </strong></p> https://www.secumd.org/

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Full-Time (40+ Hours)

Overview: You're the best at what you do. So are we. Imagine what we can achieve together!We are looking for dynamic professionals with a passion for data innovation to join our SECU team as a Senior Data Analyst.*This position is 100% remote for candidates ideally living in the EST time zone***Occasional in-person meetings and commitments throughout the year are required**<br /><br />one of the great perks of joining Team SECU is our total rewards package, which includes: <ul> <li>Market competitive pay</li> <li>Robust 401(k) retirement savings program</li> <li>Generous paid leave programs</li> <li>And more&hellip;</li> </ul> If you&rsquo;re interested in a challenging and rewarding career, then SECU is for you! We can&rsquo;t wait to get to know you!
Responsibilities: <p><strong>What You&rsquo;ll Do.</strong></p> <p>The Senior Data Analyst will conduct exploratory data analysis, statistical analysis, data visualization predictive modeling and forecasting to produce actionable and automated data-driven insights across the organization. While taking on complex ad hoc analytical projects, the Senior Data Analyst will demonstrate innovative ways to use existing and new data sources to produce enhanced metrics which drive strategic business decisions.</p> <ul> <li>Solve data questions requiring advanced transforms, custom queries, statistical analyses, or other related tasks outside the realm of possibility for a self-service tool.</li> <li>Create ad hoc scripts to extract meaning from the underlying data and answer relevant business questions.</li> <li>Develop and maintain predictive modeling and forecasting to help key stakeholders build a proactive strategy.</li> <li>Convey results that speak to the requester&rsquo;s core business questions and provide key insights and relevant action items.</li> <li>Clearly communicate nuanced and complex analytical concepts, often translating meaning to impact on the business.</li> <li>Sustain a comprehensive knowledge of analytics tools (such as Power BI, SQL, JupyterLab, statistical languages/packages, or other tools to easily analyze and visualize data) and apply knowledge to help build out more dynamic, automated, and easy to consume reporting for key stakeholders.</li> <li>Convert raw data into usable metrics. This may include cleaning, interpolation, rollups, stats, and mashups of multiple data sources.</li> <li>Build reporting dashboards from start to finish, including identification of strategic key performance indicators (KPIs), queries to obtain the data, visualizations, and dashboard maintenance.</li> <li>Present reporting and dashboards to key stakeholders; answer questions or clarifications&nbsp;as needed.</li> <li>Educate team members on data literacy to promote proper and relevant usage of dashboards and reporting while also maintaining a general understanding of team and project priorities.</li> <li>Collaborate with internal partners to identify and understand key data sources for analytics.</li> <li>Perform extensive quality control on all data extract methods by means of manual analysis, validation and check-ins with subject matter experts.</li> <li>Work with related stakeholders to prevent infrastructure or other internal roadblocks.</li> <li>Request and recommend additional data extracts, views, etc. as necessary, and help detail requirements.</li> </ul>
Requirements: <p><strong>What We&rsquo;re Looking For</strong>.</p> <ul> <li>Bachelor&rsquo;s or master&rsquo;s degree in field related to statistics, data analytics, programming, Information Systems, Data Science or Computer Science.</li> <li>4-7 years&rsquo; relevant experience and/or training; or equivalent of education and experience.</li> <li>Financial services/banking experience is a plus.</li> <li>Advanced and experienced in SQL and SQL Server.</li> <li>Advanced and experienced in building complex PowerBI dashboards for variety of audiences.</li> <li>Experience utilizing databases and warehouses for analysis.</li> <li>Experience with infrastructure tools (e.g., Azure, Transactional Systems knowledge, data repositories, data catalogues)</li> <li>Experience with data management tools (e.g., integrations &ndash; structured/rectangular and non-structured data/excel, external, APIs)</li> <li>Programming background, specifically in statistical languages and packages such as Python.</li> <li>Experience with forecasting, statistical analysis, predictive algorithms, clustering, and segmentation.</li> <li>Advanced proficiency in Microsoft Office programs specifically Microsoft Excel, PowerPoint and Word.</li> </ul>