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Confidential

<div>
 <p>
  <strong>
   About the Company
  </strong>
 </p>
 <p>
  We're a collaborative and forward-thinking company where your analytical skills will directly impact our success.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  Are you an Administrative Assistant with a knack for numbers and a passion for turning insights into action? Do you love diving deep into spreadsheets and unearthing valuable trends? We're looking for a Data Analyst to join our team and help us make smarter decisions!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  &middot;
  <strong>
   Analyze and Interpret Data:
  </strong>
  You'll be a data detective, meticulously examining information to find patterns, anomalies, and key insights that drive business decisions.
 </p>
 <p>
  &middot;
  <strong>
   Collaborate and Communicate:
  </strong>
  Work closely with different departments to understand their data needs, present your findings clearly, and help translate insights into strategic actions.
 </p>
 <p>
  &middot;
  <strong>
   Identify Opportunities:
  </strong>
  Spot trends that could lead to increased efficiency, cost savings, or new revenue streams.
 </p>
 <p>
  &middot;
  <strong>
   Ensure Data Integrity:
  </strong>
  Play a key role in maintaining the accuracy and reliability of our data.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  &middot; A few years of experience in an Administrative Assistant, Data Analyst role or similar, where you regularly worked with large datasets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  &middot; A strong understanding of Microsoft Excel, including, VLOOKUPs, conditional formatting, and data visualization (charts, graphs).
 </p>
 <p>
  &middot; Strong analytical and problem-solving skills; you love a good puzzle!
 </p>
 <p>
  &middot; The ability to communicate complex data findings in a clear, concise, and engaging way to both technical and non-technical audiences.
 </p>
 <p>
  &middot; A meticulous eye for detail and a commitment to data accuracy.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Skills
  </strong>
 </p>
 <p>
  &middot; Background working with data in Excel
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Pay range and compensation package
  </strong>
 </p>
 <p>
  Ready to build upon your data analysis skills? Apply today and help us unlock the power of our data!
 </p>
</div>


Data Analyst

Material Handling Systems

<p>MHSI is a privately held company based in Rochester Hills, MI, supporting manufacturing, program management, data management, and design for our customers in Logistics and Logistics related activities. These activities include the management and design of Facilities, Material Handling, Material Flow, and Industrial Engineering related activities. MHSI&rsquo;s customers include Automotive, Automotive Tier One&rsquo;s, and Heavy Manufacturing. MHSI&rsquo;s personnel work as an extension for the customer.</p><p>We are currently seeking a Data Analyst with 3-5 years&rsquo; experience. This position is a hybrid working environment with on site work at our customer location in Warren, MI at least 3 days per week.</p><p><b>Job Functions:</b></p><ul><li>Provide Data Analysis support of Customer Supply chain Logistics system performance</li><li>Develop custom solutions using Tableau and/or similar tools for identifying opportunities for improvement</li><li>Work with team members to identify areas for improvement and strategies solutions.</li><li>Maintaining company and customer databases</li><li>Trips to customer locations to train and develop additional systems requirements as needed</li><li>Provide complete and accurate tracking on the current status for all work-in-progress</li></ul><p><b>Requirements:</b></p><ul><li><b>Bachelor&rsquo;s Degree in Management Information Systems.</b></li><li>Microsoft Business Intelligence or other reporting tools knowledge</li><li>Prior experience applying data analytic tools</li><li>Automotive industry experience is a plus, but not required</li><li>Working knowledge of Management Information Systems</li><li>Working knowledge of Microsoft Office, especially Excel, Word, and Power Point</li><li>Exposure to Microsoft Access and SQL Databases</li><li>Good follow-up and interface skills</li><li>Our customer requires a standard drug screening test for all employees that will be visiting their facilities and this will be done as part of the post job offer employment process.</li></ul><p>Pay: $85,000.00 - $95,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li></ul><p>Application Question(s):</p><ul><li>Will you need a visa now or in the future?</li><li>Do you have a degree in Management Information Systems or related?</li><li>Will you be able to work a hybrid schedule with at least 3 days in Warren?</li></ul><p>Work Location: Hybrid remote in Rochester Hills, MI 48309</p>

American Cast Iron Pipe Company

<div><p>The Data Analyst is responsible for collecting, cleansing, and interpreting information from complex, large-scale data sets to deliver actionable insights that support business strategy and improve decision-making, efficiency, and profitability. This role involves gathering data from various sources, performing statistical analysis, creating reports and dashboards, and collaborating with cross-functional teams to provide meaningful recommendations. The Data Analyst also develops deep knowledge of the business and industry to enhance data analysis and predictive modeling capabilities that drive strategic initiatives.</p><p><b>
Minimum Qualifications</b></p><ul><li>
Must exhibit a bachelor's degree in Data Analytics, Computer Science, Engineering, Information Technology or Information Systems, or an equivalent degree from an accredited four-year college or university. Proof of degree required. A transcript or diploma would be acceptable and must be provided.</li><li>
Must exhibit proficient knowledge of statistical methods and tools.</li><li>
Must exhibit proficient knowledge of databases, data warehouse, data lakes, extracting data using queries, and Extract, Transform, Load (ETL) processes.</li><li>
Must exhibit excellent reasoning and analytical skills for identifying and resolving problems.</li><li>
Must exhibit exceptional technical writing skills.</li><li>
Must exhibit excellent attention to detail and excellent organizational skills.</li><li>
Must exhibit excellent oral and written communication skills with all levels of the Company (i.e., excellent command of grammar and spelling). Must exhibit the ability to communicate in a courteous, polite, and effective manner, both verbally and in written format.</li><li>
Must exhibit excellent interpersonal skills and the ability to interact with persons of different socio-economic, cultural, and educational backgrounds. Must exhibit the ability to cooperate well with other individuals and establish and maintain effective working relationships.</li><li>
Must be physically able to perform the essential functions of the job, with or without reasonable accommodations.</li><li>
Must be able to work extra hours on weekdays, weekends, and holidays as required to fulfill job duties.</li><li>
Must exhibit a working knowledge of word processing, spreadsheet, presentation, and database software, such as Word, Excel, PowerPoint, Outlook, etc.</li><li>
Must possess a valid state issued driver's license.</li><li>
Must exhibit the ability to develop and maintain professional reports, dashboards, and visualization using various platforms.</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Exhibit a master's degree in Statistics, Computer Science, Mathematics, or similar. Proof of degree required. A transcript or diploma would be acceptable and must be provided.</li><li>
Exhibit experience in statistical analysis, artificial intelligence, and machine learning.</li><li>
Prior experience with programming languages, such as R, Python, SAS, Java, C++, Excel/VBA.</li><li>
Prior experience with distributed data/computing tools, such as MapReduce, Hadoop, Hive, Kafka, and MySQL.</li><li>
Prior experience with cloud-based platforms, such as AWS, Databricks, Fabric, MongoDB, and Snowflake.</li><li>
Prior experience with business intelligence and data visualization tools such as Power BI.</li><li>
Must exhibit previous work experience in statistical analysis, artificial intelligence, and machine learning.</li></ul><p><b>
AMERICAN Benefits</b></p><ul><li>
401(k) Plan</li><li>
Profit Sharing Bonus Plan</li><li>
Eagan Center for Wellness</li><li>
Medical, Dental and Supplemental Vision</li><li>
Tuition Reimbursement</li><li>
Paid Vacation and Holidays</li><li>
Employee Assistance Program</li></ul><p><b>
About AMERICAN</b></p><p>
Founded in Birmingham, Alabama in 1905, AMERICAN is a manufacturer of fire hydrants, valves, ductile iron and spiral-welded steel pipe for the waterworks industry, and high-frequency-welded steel pipe for the oil and natural gas industries. AMERICAN's diversified product line also includes fire pumps, structural casing and piling, castings for waterworks products and large machinery, and specialty rubber products. For more than a century, AMERICAN has been committed to doing things The Right Way by applying the Golden Rule in life and in business, always exceeding customer expectations, by empowering and supporting our team members, and by being a good neighbor in our communities.</p><p><b>
EOE/VETS/DISABILITY</b></p></div>

Corteva Agriscience

<div><p><b>Who We Are and What We Do</b></p><p>
At Corteva Agriscience, you will help us grow what&rsquo;s next. No matter your role, you will be part of a team that is building the future of agriculture &ndash; leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.</p><p></p><p>
Corteva Agriscience Genome Center of Excellence is seeking a Data Analyst to join our Data Quality and Analytics team. This position will focus on data engineering, aligned data management, and delivering innovative reporting solutions, data visualizations and solutions to support monitoring of genomics sequencing and genotyping platforms globally. The right candidate will also demonstrate strong organizational, productivity, and communication skills.
</p><p></p><p><b>What You&rsquo;ll Do:</b></p><ul><li>
Lead data management strategies, aligned with the most current technologies and create solutions within the Corteva infrastructures.</li><li>
Form partnerships with cross-functional sequencing and genotyping lab teams for identification of solutions and improvements to support metrics and data quality.</li><li>
Use creative approaches to solve complex problems, with an innovative mindset, and ability to adapt to change.</li><li>
Function as key contributor to global lab teams, building impactful data visualizations and reporting tools to support research and development pipelines.</li><li>
Ability to work with relational databases and query internal data for reporting purposes.</li><li>
Communicate complex technical information to a variety of audiences in a clear and concise manner.</li><li>
Ability to work effectively in a team environment, demonstrating a willingness to help others.</li></ul><p></p><p><b>
What Skills You Need:</b></p><ul><li>
Master of Science in data management, data engineering, data analytics or molecular biology related field.</li><li>
Strong people and project leadership skills with the ability to lead and drive change and improvements through teams across the organization.</li><li>
Demonstrated statistical computing skills: knowledge of R, Python or related programming and scientific computing tools and the ability to manage and manipulate large data sets.</li><li>
Ability to understand relational databases to extract, summarize, and report data.</li><li>
Demonstrated aptitude in data visualizations.</li><li>
Understanding of genomics, sequencing, genotyping, and gene editing platforms or the ability to learn detailed processes.</li><li>
Demonstration of solving complex problems requiring deductive reasoning, critical thinking and problem solving.</li><li>
Capable to work independently and collaboratively while applying good time management skills.</li><li>
Strong interpersonal communication skills.</li><li>
A desire to excel.</li></ul><p></p><p>
#LI-BB1</p><p></p><p><b>
Benefits &ndash; How We&rsquo;ll Support You:</b></p><ul><li><p>
Numerous development opportunities offered to build your skills</p></li><li><p>
Be part of a company with a higher purpose and contribute to making the world a better place</p></li><li><p>
Health benefits for you and your family on your first day of employment</p></li><li><p>
Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays</p></li><li><p>
Excellent parental leave which includes a minimum of 16 weeks for mother and father</p></li><li><p>
Future planning with our competitive retirement savings plan and tuition reimbursement program</p></li><li><p>
Learn more about our total rewards package here - Corteva Benefits</p></li><li><p>
Check out life at Corteva! www.linkedin.com/company/corteva/life</p></li></ul><p><br>
Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.</p><p></p><p>
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.</p></div>

Cognizant Technology Solutions

<p></p><div><p><b>Description - External</b></p><p><b>
We are Cognizant AIA - Artificial Intelligence and Analytics !!</b></p><p><b>
About AI &amp; Analytics:</b> Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI &amp; Analytics, we work to design the future&mdash;a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies! By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models! Cognizant&rsquo;s AIA practice takes insights that are buried in data and provide businesses with a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.</p><p><b>
Job Summary</b></p><p><b>
Data Analyst</b></p><p><b><br>
Job Summary</b></p><p><b>
We are seeking a skilled Data Analyst with experience to join our team in a hybrid work model. The ideal candidate will have expertise in SQL. This role involves overseeing testing processes to ensure quality and efficiency in our projects contributing to the companys success and societal impact.</b></p><p><b><br>
</b></p><p><b>Responsibilities</b></p><ul><li><b>
Lead the testing team to ensure all deliverables meet the highest quality standards.</b></li><li><b>
Oversee the development and execution of test plans and test cases for various projects.</b></li><li><b>
Provide expertise in Ab Initio Unix Database and SQL AWS to enhance testing processes.</b></li><li><b>
Collaborate with cross-functional teams to ensure seamless integration of testing activities.</b></li><li><b>
Analyze test results and provide detailed reports to stakeholders for informed decision-making.</b></li><li><b>
Ensure compliance with industry standards and best practices in Cards and Payments.</b></li><li><b>
Identify and mitigate risks associated with testing processes to prevent project delays.</b></li><li><b>
Develop and maintain testing documentation for future reference and continuous improvement.</b></li><li><b>
Coordinate with developers and business analysts to resolve defects and improve product quality.</b></li><li><b>
Implement automated testing solutions to increase efficiency and reduce manual effort.</b></li><li><b>
Monitor testing progress and adjust strategies as necessary to meet project timelines.</b></li><li><b>
Provide training and support to junior team members to enhance their skills and knowledge.</b></li><li><b>
Contribute to the companys purpose by ensuring the delivery of reliable and secure payment solutions.</b></li></ul><p><b><br>
</b></p><p><b>Qualifications</b></p><ul><li><b>
Possess strong technical skills in Ab Initio Unix Database and SQL AWS essential for effective testing.</b></li><li><b>
Demonstrate domain expertise in Cards and Payments crucial for understanding project requirements.</b></li><li><b>
Exhibit excellent problem-solving abilities to address testing challenges efficiently.</b></li><li><b>
Have a keen eye for detail to ensure thorough testing and defect identification.</b></li><li><b>
Show proficiency in automated testing tools to streamline testing processes.</b></li><li><b>
Display strong communication skills to collaborate effectively with team members and stakeholders.</b></li><li><b>
Maintain a proactive approach to learning and adapting to new testing technologies.</b></li></ul><p>
</p><p>#LI-KN1</p><p>
</p><p>Salary and Other Compensation:</p><p>
Applications will be accepted until December 20th 2025. The annual salary for this position is between $70K- 90K depending on experience and other qualifications of the successful candidate.</p><p>
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.</p><p>
This position is also eligible for Cognizant&rsquo;s discretionary annual incentive program, based on performance and subject to the terms of Cognizant&rsquo;s applicable plans.</p><p>
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:&middot; Medical/Dental/Vision/Life Insurance&middot; Paid holidays plus Paid Time Off&middot; 401(k) plan and contributions&middot; Long-term/Short-term Disability&middot; Paid Parental Leave&middot; Employee Stock Purchase Plan</p><p>
</p><p>Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.</p></div><p></p>

Syracuse University

<div><div><div><div><b>Job #</b></div> <div>042447</div>
</div><br>
<div><div><b>Department Code</b></div> <div>20701-6026</div>
</div><br>
<div><div><b>Department</b></div> <div>Information Technology Services</div>
</div><br>
<div><div><b>Job Title</b></div> <div>Data Analyst</div>
</div><br>
<div><div><b>Location</b></div> <div>Syracuse, NY</div>
</div><br>
<div><div><b>Campus</b></div> <div>Syracuse, NY</div>
</div><br>
<div><div><b>Commitment to On-Campus Experience</b></div>
<div>Syracuse University is committed to delivering an exceptional student experience through vibrant, engaged campus communities. This position is based at the above campus location and requires regular in-person presence to support our students, collaborate with colleagues, and contribute to our thriving academic environment. Syracuse University values the collaboration, mentorship, and spontaneous connections that happen when our community works together on campus. Remote work arrangements are limited in accordance with University policy.</div>
</div><br>
<div><div><b>Pay Range</b></div> <div>$62,400 - $70,000</div>
</div><br>
<div><div><b>Pay Determination</b></div>
<div>Pay rates at Syracuse University are based on a combination of factors including, but not limited to, the job responsibilities; the candidate&rsquo;s education, training, work experience and key competencies; the university&rsquo;s strategic priorities; internal peer equity; applicable federal, state, local laws, grant funding and contractual requisites; and external market analyses.</div>
</div><br>
<div><div><b>Staff Level</b></div> <div>S5</div>
</div><br>
<div><div><b>FLSA Status</b></div> <div>Exempt</div>
</div><br>
<div><div><b>Hours</b></div>
<div><div>Standard University business hours<br>
<br>
8:30am &ndash; 5:00pm (academic year)<br>
8:00am &ndash; 4:30pm (summer)</div><div>
<br>
Hours may vary based on operational needs.</div></div>
</div><br>
<div><div><b>Job Type</b></div> <div>Full-time</div>
</div><br>
<div><div><b>Unionized Position Code</b></div> <div>Not Applicable</div>
</div><br>
<div><div><b>Job Description</b></div>
<div>Provides management and analysis of business data for use in decision-making and organizational efficiency improvement initiatives. Collaborates with University leaders and the Enterprise Data team to support institution-wide data projects that inform strategic planning and enhance the student experience, with particular emphasis on international populations. This role applies data analytics and program evaluation methods to assess engagement initiatives, strengthen student services, and improve University operations.</div>
</div><br>
<div><div><b>Education and Experience</b></div>
<ul><li>Bachelor&rsquo;s degree required.</li>
<li>0-2 years of experience in data analysis, program evaluation, or project coordination</li>
</ul>
</div><br>
<div><div><b>Skills and Knowledge</b></div>
<ul><li>Demonstrated ability to design surveys, analyze results, and use data to inform decision-making.</li>
<li>Strong analytical thinking skills with experience in statistical methods, data visualization, and reporting.</li>
<li>Proficiency with Microsoft Office (Excel, Word, PowerPoint, Teams) and other computer applications.</li>
<li>Strong communication and presentation skills; ability to translate data into insights for non-technical audiences.</li>
<li>Excellent organizational skills and detail-oriented approach, with the ability to manage multiple tasks, priorities, and meet deadlines.</li>
<li>Demonstrated ability to work independently and collaboratively as part of a team in a fast-paced environment.</li>
</ul>
</div><br>
<div><div><b>Responsibilities</b></div>
<div><div><b>Program and Engagement Evaluation</b></div><ul>
<li>Apply program evaluation methods to assess the impact of student engagement initiatives and University programs.</li>
<li>Analyze student participation patterns and engagement metrics to identify trends and opportunities.</li>
<li>Design and conduct surveys, collect feedback, and perform outcome analysis to recommend improvements for international and domestic student programs.</li>
<li>Collaborate with campus partners to ensure that engagement strategies are data-driven and culturally responsive.</li>
<p></p>
</ul><div><b> Data Analysis and Research</b></div><ul>
<li>Collaborate with the Enterprise Data team and University leaders to define research questions and analytics needs, with emphasis on international student experience and engagement.</li>
<li>Design and administer surveys; aggregate, clean, and analyze data from multiple sources; and present results to stakeholders.</li>
<li>Evaluate the effectiveness of existing systems, services, and processes, using data to identify gaps and opportunities for improvement.</li>
<li>Integrate data from multiple functional areas, ensure data accuracy and integrity, and update data as needed.</li>
<li>Write queries and reports to provide data for various analytical projects.</li>
<li>Prepare dashboards, reports, and presentations that communicate findings in a clear and actionable way.</li>
</ul><div><b>Process Improvement and Documentation</b></div><ul>
<li> Partner with stakeholders to identify key performance indicators (KPIs) for engagement-related programs and services.</li>
<li> Interpret data to identify business trends, conduct root cause analysis of operational challenges, and suggest areas for process improvement.</li>
<li> Develop and maintain process documentation to ensure consistent reporting standards and reproducible analysis methods.</li>
<li>Recommend adjustments to workflows and practices based on data insights.</li>
<li> Contribute to the adoption of best practices in data governance and data-informed decision-making.</li>
</ul><div><b>Cross-Functional Project Coordination</b></div><ul>
<li> Assist with planning and tracking of data-related projects within ITS and across academic and administrative units.</li>
<li> Support team meetings, project agendas, and follow-up activities to ensure progress on deliverables.</li>
<li> Serve as a liaison between technical staff, analysts, and end users, helping translate requirements into actionable project tasks.</li>
<li>Participate in cross-campus working groups to ensure data initiatives support institutional priorities.</li>
</ul></div>
</div><br>
<div><div><b>Physical Requirements</b></div>
<ul><li></li></ul>
</div><br>
<div><div><b>Tools/Equipment</b></div>
<ul><li></li></ul>
</div><br>
<div><div><b>Application Instructions</b></div>
<div>In addition to completing an online application, please attach a resume and cover letter.</div>
</div><br>
<div><div><b>About Syracuse University</b></div>
<div>Syracuse University is a private, international research university with distinctive academics, diversely unique offerings, and an undeniable spirit. Located in the geographic heart of New York State, with a global footprint, and over 150 years of history, Syracuse University offers a quintessential college experience.<br>
<br>
The scope of Syracuse University is a testament to its strengths: a pioneering history dating back to 1870; a choice of more than 200 majors, 100 minors, and 200 advanced degree programs offered across the University&rsquo;s 13 schools and colleges; over 15,000 undergraduates and over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a student population from all 50 U.S. states and 123 countries. For more information, please visit http://www.syracuse.edu.</div>
</div><br>
<div><div><b>About the Syracuse area</b></div>
<div>Syracuse is a medium-sized city situated in the geographic center of New York State approximately 250 miles northwest of New York City. The metro-area population totals approximately 500,000. The area offers a low cost of living and provides many social, cultural, and recreational options, including parks, museums, festivals, professional regional theater, and premier shopping venues. Syracuse and Central New York present a wide range of seasonal recreation and attractions ranging from water skiing and snow skiing, hiking in the Adirondacks, touring the historic sites, visiting wineries along the Finger Lakes, and biking on trails along the Erie Canal.</div>
</div><br>
<div><div><b>EEO Statement</b></div>
<div>Syracuse University is an equal-opportunity institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran status, or any other status protected by applicable law to the extent prohibited by law. This nondiscrimination policy covers admissions, employment, and access to and treatment in University programs, services, and activities.</div>
</div><br>
<div><div><b>Commitment to Supporting and Hiring Veterans</b></div>
<div>Syracuse University has a long history of engaging veterans and the military-connected community through its educational programs, community outreach, and employment programs. After World War II, Syracuse University welcomed more than 10,000 returning veterans to our campus, and those veterans literally transformed Syracuse University into the national research institution it is today. The University&rsquo;s contemporary commitment to veterans builds on this historical legacy, and extends to both class-leading initiatives focused on making an SU degree accessible and affordable to the post-9/11 generation of veterans, and also programs designed to position Syracuse University as the employer of choice for military veterans, members of the Guard and Reserve, and military family members.</div>
</div><br>
<div><div><b>Commitment to a Respectful and Welcoming Community</b></div>
<div>Syracuse University fosters a welcoming learning environment where students, faculty, administrators, staff, curriculum, social activities, governance, and all aspects of campus life reflect a broad range of perspectives and experiences. The University community values the many similarities and differences among individuals and groups. At Syracuse, we are committed to preparing students to engage with and appreciate the richness of backgrounds, beliefs, and experiences that shape our society. To achieve this, we strive to cultivate a community that respects and encourages open dialogue, understanding, and mutual respect.</div></div></div></div><div></div>

SNA International

<div><div>SNA International seeks a highly analytical and detail-oriented Financial Data Analyst. SNA International&rsquo;s team works together in pursuit of the same cause: build a safe and just world by empowering organizations in the use of forensics, biometrics and identity intelligence.</div><div>
</div><div>
The successful candidate will be responsible for collecting, processing, and analyzing data to support strategic decision-making, budgeting, forecasting, and financial reporting for the Armed Forces DNA Identification Laboratory (ADFIL) in Dover, DE. You will work closely with resource management, logistics, and divisions to provide actionable insights and maintain data accuracy and integrity.</div><div>
</div><div><b><i>
This is a 100% onsite, part-time position</i></b></div><div>
</div><div><b>
Responsibilities Include, but are not limited to:</b></div><div>
</div><ul><li>
Gather and analyze financial data and non-financial data to create models to support forecasting, budgeting, operational, and strategic planning.</li><li>
Exploratory Data Analysis: Examine large datasets to identify patterns, trends, and anomalies to support operational and scenario planning.</li><li>
Prepare monthly, quarterly, and annual reports for management.</li><li>
Track key performance indicators (KPIs) and identify trends, variances, and opportunities for improvement.</li><li>
Collaborate with resource management and divisions to ensure accurate data collection and reporting.</li><li>
Develop dashboards, visualizations, and reports using tools like Excel, Tableau, Power BI, or similar.</li><li>
Support internal audits and ensure compliance with financial regulations and standards.</li><li>
Assist in scenario planning, risk analysis, and strategic initiatives.</li></ul><div>
</div><div><b>
Minimum Education and Experience Requirements:</b></div><div>
</div><ul><li>
Bachelor&rsquo;s degree or higher (preferred) in finance, Accounting, Economics, Data Science, or related field. Will consider applicants with experience equivalent.</li><li>
Proven experience as a Financial Analyst, Data Analyst, or similar role.</li><li>
Strong proficiency in Microsoft Excel; experience with data visualization tools (e.g., Tableau, Power BI) is preferred.</li><li>
Experience with financial databases.</li><li>
Solid understanding of financial principles, accounting practices, and data analysis techniques.</li><li>
Excellent analytical thinking, attention to detail, and problem-solving skills.</li><li>
Strong written and verbal communication skills.</li><li>
Candidates must be US citizens and able to pass a NAC-I Security Background Investigation.</li></ul><div>
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To Apply:</b></div><div><b>
</b></div><div><b>
Please submit your resume
</b></div><div><b><i>
</i></b></div><div><b><i>No phone calls.</i></b><br>
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<i>SNA International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, or protected veteran status and will not be discriminated against on the basis of disability.</i></div></div>

Financial Data Analyst

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