data science analyst

Mount Sinai Health System

<div><p>The Data Science Analyst I collaborates with stakeholders from across the organization to develop sophisticated analytics to provide information, insights and BI (Business Intelligence) solutions that contribute to sound strategic planning, decision-making, goal setting, and effective performance measurement. This individual demonstrates sound understanding of the healthcare domain, technical data manipulation and analytic development skills and impact the patient community of the Mount Sinai Health System.</p><ul><li><div>
Analyzes data requests using information technology, enrollment, claims, pharmacy, clinical, contract, medical management, financial, administrative and other corporate data from both modeled and disparate internal and external sources.</div><ul><li><div>
a. Works with departmental staff to identify requirements for reporting and / or business intelligence tools.</div></li><li><div>
b. Identifies necessary data, data sources and methodologies.</div></li><li><div>
c. Collects, organizes, integrates, analyzes and interprets data.</div></li><li><div>
d. Leverages advanced statistical analysis methods to create insightful recommendations and conclusions that may be communicated to the stakeholder.</div></li><li><div>
e. Identifies and addresses expected and unforeseen data complexities to mitigate their impact on the analytic outcome and associated business decisions. Works to improve data quality where possible within created analytical models. Feeds data quality issues back to IT or identified data stewards to facilitate creation of high-quality metrics.</div></li><li><div>
f. Develops and may present reports, analyses and findings to senior management and others as scheduled or requested.</div></li></ul></li><li><div>
Acts as liaison/analyst for internal stakeholders, understands their needs and translates them into reporting and analytic solutions.</div></li><li><div>
Effectively communicates with stakeholders and customers and ensures all requests are properly triaged, recorded and tracked.</div></li><li><div>
Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output.</div></li><li><div>
Helps identify and understand data from internal and external sources for competitive, scenario and performance analyses, and financial modeling to gain member/provider insight into new and existing processes and business opportunities.</div></li><li><div>
Works closely with IT on the ongoing improvement of Mount Sinai&rsquo;s integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization.</div></li><li><div>
Develops and maintains project work plans, including critical tasks, milestones, timelines, interdependencies and contingencies. Tracks and reports progress. Keeps stakeholders apprised of project status and implications for completion.</div></li><li><div>
Prepares clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication.</div></li><li><div>
Demonstrate proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach.</div></li></ul><p>
Other duties as assigned.</p>
<ul><li><div>
BA or BS degree minimum, in a relevant field of study; Master?s degree preferred.</div></li><li><div>
2 years minimum is preferred in analytics development expertise, preferably in health care, or for a health provider, health plan or accountable care organization, including either:</div></li><li><div>
Working knowledge of healthcare EMR platforms such as Epic/Clarity, with demonstrated proficiency in SQL and Python to procure data and build efficient data pipelines.</div></li><li><div>
Experience working in healthcare provider analytics related to revenue modeling, managed care contracting, population management, case management, clinical or financial decision report</div></li></ul><p></p><p><br>
Non-Bargaining Unit, 851 - Geriatrics and Palliative Care - ISM, Icahn School of Medicine</p><p></p><p><b>
Compensation Statement</b></p><p></p><p>
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72,473.00 - $110,291.03 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p><p></p><p><b>
Strength through Unity and Inclusion</b></p>
<p>
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.</p>
<p>
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.</p>
<p><b>
About the Mount Sinai Health System:</b></p>
<p>
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.</p></div>

Data Science Analyst I-Geriatric and Palliative Care

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.<br>
</li>
<li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience and a Master's degree).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.<br>
</li>
<li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Operations Data Science (ODS) is a team of Data Scientists (Research and Analyst) experts, who provide model-based decision support to scale Google's Technical Infrastructure optimally.</p><p>
If you like using data, metrics, forecasts, statistics, operations research, analytical insights, strategic thinking and executive level business communications to optimize large spend decisions on Google's technical infrastructure, then you should consider joining ODS as a Data Scientist.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Collaborate with cross-functional stakeholders to understand their business needs and frame analytical problems.</li>
<li>Develop, maintain, support, and enhance custom forecasting and capacity planning tools for Google&rsquo;s data center infrastructure.</li>
<li>Drive analysis and modeling, drawing from multiple analytical methods and choose the right method and level of complexity appropriate for the business challenges.</li>
<li>Engage broadly to identify, prioritize, frame, and structure complex and ambiguous challenges, where data science projects or tools can have the biggest impact. Measure business outcomes driven from the analytical recommendations.</li>
<li>Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into actionable business recommendations supported by technical documentation and presentations.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Product Data Scientist, Operations

Youtube

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related quantitative field.</li>
<li>3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience with machine learning and experiment design principles.</li>
<li>Experience with recommender systems.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
YouTube Data Science influences and informs YouTube&rsquo;s product and engineering leadership. The Gaming Discovery team helps gamers find YouTube content whether it's videos about gaming (e.g., gaming-related content) or Playables (e.g., mini-games playable within the YouTube app).At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun &mdash; and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Collaborate with stakeholders in cross-project and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into analysis, evaluation metrics or mathematical models.</li>
<li>Use custom data infrastructure or existing data models. Design and evaluate models to mathematically express and solve defined problems with limited precedent.</li>
<li>Gather information, business goals, priorities and organizational context around the questions to answer as well as the existing and upcoming data infrastructure.</li>
<li>Own the process of gathering, extracting and compiling data across sources via relevant tools (e.g., SQL and Python). Format, re-structure or validate data to ensure quality and review the dataset to ensure it is ready for analysis.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Data Scientist, YouTube Gaming Discovery

Generate:Biomedicines

<div>
 <strong>
  The Role:
  <br/>
  <br/>
 </strong>
 We are looking for a pragmatic, curious data scientist who wants to learn how data can improve clinical trials and help turn careful analysis into better decisions.
 <br/>
 <br/>
 This person learns quickly, works well in environments where data security and governance are essential, and can help move from hypothesis to evidence with guidance from experienced clinical, statistical, and engineering partners.
 <br/>
 <br/>
 They will contribute to focused explorations across statistical modeling, trial operations, data quality, and decision support, helping test whether promising ideas are useful, trustworthy, and actionable.
 <br/>
 <br/>
 As the first Generator in this role, they will work closely with existing members of the Clinical AI Team, including a data engineer, a Bayesian-trained statistician, and a customer-focused product manager. They will be expected to bring initiative, care, and follow-through, while learning the habits of rigorous, transparent, decision-oriented clinical data science. They will also help establish good working practices for this new capability through careful, reproducible, well-communicated analysis.
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 <br/>
 The data scientist will use their skills to help improve how clinical trials are planned, monitored, and understood. You will be part of a small team working to make clinical development more evidence driven.
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 Your analyses, prototypes, and evidence packages will help the people running our trials make better decisions, with support from clinical, statistical, product, and engineering partners.
 <br/>
 <br/>
 This is not a reporting role, and the deliverable is not dashboards. The real deliverable is trustworthy evidence: careful analysis, clear communication, and follow-through that turn raw data into insights people can act on.
 <br/>
 <br/>
 This role is a good fit for someone who wants to work on meaningful clinical problems, develop ownership over time, and see careful analysis influence decisions in the real world.
 <br/>
 <br/>
 <strong>
  Here's how you will contribute:
  <br/>
  <br/>
 </strong>
 <strong>
  Trustworthy data.
 </strong>
 You will help the team work from data that is accurate, current, well-understood, and honest about its limitations. Because your work may inform important clinical and operational decisions, quality, provenance, and transparency matter.
 <br/>
 <br/>
 <strong>
  Turning data into evidence.
 </strong>
 You will contribute a quantitative, model-minded approach to well-scoped clinical and operational questions, working closely with senior statistical and clinical partners. You will learn to reason carefully under uncertainty, evaluate assumptions using evidence, and help the team distinguish between signals, hypotheses, and verified facts.
 <br/>
 <br/>
 <strong>
  Learning from decisions.
 </strong>
 You will not stop at producing an analysis. You will help track how analyses are used, learn what happened after decisions were made, and use that feedback to make future work stronger.
 <br/>
 <br/>
 <strong>
  Building with others.
 </strong>
 You will work closely with clinical, statistical, engineering, and product partners to understand the real-world context behind the data. Good answers will often come from combining technical rigor with curiosity, humility, and collaboration.
 <br/>
 <br/>
 <strong>
  The Ideal Candidate will have:
  <br/>
  <br/>
 </strong>
 We care about the mission first, but this is a technical, learning-oriented role for someone with solid analytical foundations and an interest in deepening their statistical and clinical trial expertise.
 <br/>
 <br/>
 The following will help set you up to succeed:
 <br/>
 <br/>
 <ul>
  <li>
   Applied statistics and data science: a foundation in applied statistics, with curiosity about Bayesian inference, hierarchical and small-data modeling, calibration, experimental design, A/B testing, and causal inference.
  </li>
  <li>
   Practical data skills: experience with Python, pandas, and SQL, with the ability to work with multi-source datasets and contribute to reproducible, well-documented analysis workflows.
  </li>
  <li>
   Messy data to useful evidence: experience working with messy, multi-source data and turning it into clear, well-supported analysis that others can trust.
  </li>
  <li>
   Clear uncertainty communication: ability to communicate what is known, what is assumed, what is missing, and what confidence we should have.
  </li>
  <li>
   Data honesty: care about the difference between a signal, a hypothesis, and a verified fact, and transparency about provenance and confidence.
  </li>
  <li>
   Cross-functional collaboration: comfort working across functions, asking good questions, and translating technical analysis into practical implications.
  </li>
  <li>
   Advanced degree in a quantitative / scientific field (e.g. MS or PhD)
   <br/>
   <br/>
  </li>
 </ul>
 These are what we are looking for, not a rigid checklist. Candidates who are still growing in some areas and bring relevant strengths in others are encouraged to apply.
 <br/>
 <br/>
 <strong>
  Who Will Love This Job:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Is motivated by the mission of helping patients benefit from better clinical development and wants their work to matter in that context.
  </li>
  <li>
   Wants to understand the data, the problem, and the context behind both rather than staying at the surface.
  </li>
  <li>
   Takes responsibility for assigned work, follows through carefully, and cares whether the work helps improve decisions or behavior.
  </li>
  <li>
   Learns quickly and is comfortable with unclear or evolving problems, while knowing when to ask for guidance and how to make progress with imperfect information.
  </li>
  <li>
   Communicates clearly, especially when the answer is uncertain, incomplete, or more nuanced than people expected.
  </li>
  <li>
   Builds trust through rigor, transparency, and steady follow-through.
   <br/>
   <br/>
  </li>
 </ul>
 If you have that motivation and a real interest in working with data, the rest is learnable.
 <br/>
 <br/>
 <strong>
  About Generate Biomedicines
  <br/>
  <br/>
 </strong>
 We are a clinical-stage generative biology company pioneering the AI revolution in drug design and development. We are advancing a new approach to drug creation&mdash;one grounded in the ability to design proteins with defined biological intent. By integrating machine learning with large-scale experimentation, this approach aims to reduce the uncertainty, time, and cost associated with developing protein-based medicines.
 <br/>
 <br/>
 Founded in 2018, we are advancing a growing pipeline of clinical and preclinical programs across multiple disease areas and protein modalities. By unifying computational design and clinical development within a single operating model, we translate this approach into clinical-stage programs and are leading a shift from traditional drug discovery toward systematic drug generation.
 <br/>
 <br/>
 At Generate:Biomedicines, we collaborate across disciplines in new ways to invent and innovate. We bring diverse perspectives to a shared goal of delivering better medicines to patients in need, faster, guided by our values and leadership behaviors.
 <br/>
 <br/>
 Generate:Biomedicines is
 <strong>
  committed to equal employment opportunity
 </strong>
 regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 <br/>
 <br/>
 <strong>
  <em>
   Recruitment &amp; Staffing Agencies
  </em>
 </strong>
 <em>
  : Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company&rsquo;s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto.
  <br/>
  <br/>
 </em>
 <strong>
  Compensation:
 </strong>
 The base salary range provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package.
 <br/>
 <br/>
 Per Year Salary Range
 <br/>
 <br/>
 $140,000&mdash;$170,000 USD
 <br/>
 <br/>
</div>


Data Scientist I

Morgan Business Consulting

<div>
 At MBC, we believe we can. We believe in working hard to meet our clients&rsquo; outcomes. We believe in laughter to help us recharge, draw people together, foster a positive work environment, and boost creativity. We believe in listening to our employees, partners, and clients. We believe in always challenging ourselves, for it is through pushing our boundaries that we achieve our greatest successes. This mindset propels our employees and our teams to accomplish our goals. That&rsquo;s where you come in. If you believe in these things too, you&rsquo;re our kind of person!
 <br/>
 <br/>
 We are currently seeking a Junior Data Scientist located in the Washington, D.C. area.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 The Junior Data Scientist will provide data analytics support to a U.S. Navy program office.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
  </li>
  <li>
   Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
  </li>
  <li>
   Visualize, interpret, and report data findings by creating dynamic data reports.
  </li>
  <li>
   Plan internal and external engagements, including meetings, conferences, and events.
  </li>
  <li>
   Assist in the development of briefing material and drafting documents in accordance with Navy Correspondence Manual guidelines.
  </li>
  <li>
   Coordinate, monitor, and execute data calls to gather inputs from both internal and external stakeholders. Consolidate and communicate information from data calls to government leadership for further action.
  </li>
  <li>
   Evaluate operational deficiencies, recommend improvements, and coordinate their implementation
  </li>
  <li>
   Transcribe and summarize meeting minutes and notes and assist in the preparation and closure of action items
  </li>
  <li>
   Assist in the scheduling of appointments in support of Government customer, the coordination of arrangements for meetings and conferences, and the arrangement of travel reservations and accommodations
  </li>
  <li>
   Attend meetings and program reviews, assist with compiling presentations, written materials, and/or electronic communications as required
  </li>
  <li>
   Travel domestically and internationally, provide in-person support at MBC and client sites, and obtain and maintain professional certifications and security clearances as required by MBC and/or MBC&rsquo;s clients. These requirements are subject to change without advance notice at the discretion of MBC and MBC&rsquo;s clients
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   At least 1 year of experience providing data analytics support to U.S. Navy program offices
  </li>
  <li>
   Proficiency using Microsoft Word, Excel, PowerPoint, and SharePoint
  </li>
  <li>
   Eligibility to obtain a DOD SECRET security clearance
  </li>
  <li>
   Associate&rsquo;s degree in math, science, engineering, or related field from an institution accredited in the United States
  </li>
  <li>
   Excellent attention to detail, organizational skills, and ability to multitask
  </li>
  <li>
   Strong verbal and written interpersonal, communication, and presentation skills
  </li>
  <li>
   Ability and willingness to travel domestically and internationally using a credit card or prepaid debit card as required by MBC and/or clients
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What MBC Offers
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salaries
  </li>
  <li>
   Comprehensive medical plans (Aetna) with Employee Assistance Program (EAP), heath savings and flexible spending accounts, and dental and vision coverage options
  </li>
  <li>
   Opportunity to earn spot awards and annual, performance, and chargeability bonuses
  </li>
  <li>
   Traditional and Roth 401(K) plans
  </li>
  <li>
   Professional development including up to $1,500/year reimbursement for pre-approved courses, trainings, continued education, and/or certifications
  </li>
  <li>
   Paid Flexible Time Off
  </li>
  <li>
   10 paid holidays
   <br/>
   <br/>
  </li>
 </ul>
 Equal Employment Opportunity Statement
 <br/>
 <br/>
 MBC is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity, national origin, or protected veteran status. We participate in the E-Verify Employment Verification Program.
 <br/>
 <br/>
 Compensation Policy: Salary ranges displayed are typical for this position, but MBC considers multiple factors when extending an offer. Factors include the role and associated responsibilities, a candidate's qualifications, and the contractual terms of the program.
</div>


Junior Data Scientist

Vyve Broadband

<p><strong>Job Summary:</strong>We are seeking a detail-oriented and analytical Remote Data Analyst to join our team. The Data Analyst will be responsible for interpreting data, analyzing results, and providing actionable insights to support business decision-making, all in a remote setting.</p><p><br /> </p><p><strong>Responsibilities:</strong></p><p>Collect, clean, and organize large datasets from various sources</p><p>Analyze data to identify trends, patterns, and insights</p><p>Develop and maintain dashboards and reports using tools like Excel, Tableau, Power BI, etc.</p><p>Collaborate with cross-functional teams remotely to understand data needs</p><p>Present findings and recommendations clearly and effectively through virtual meetings and reports</p><p>Identify areas for process improvement and data quality enhancement</p><p>Ensure data accuracy and integrity</p><p> </p><p><strong>Qualifications:</strong></p><p>Bachelor’s degree in Data Science, Statistics, Computer Science, or related field</p><p>Proven experience as a Data Analyst or similar role</p><p>Proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, etc.)</p><p>Strong analytical and problem-solving skills</p><p>Excellent written and verbal communication skills for remote collaboration</p><p>Knowledge of programming languages like Python or R is a plus</p><p> </p><p><strong>Preferred Skills:</strong></p><p>Experience with big data tools (Hadoop, Spark)</p><p>Familiarity with cloud platforms (AWS, Azure)</p><p>Understanding of statistical methods and data modeling</p>

Data Analyst

MarketVision Research Inc.

<div><div><div><div>Cincinnati, OH</div></div><div><div>
Full-Time</div></div></div><div><div><p>
The graphic design department at MarketVision Research is looking for an enthusiastic graphic designer to design and create graphical reports and presentations of research data. We are looking for someone who loves organization, is familiar with visual branding and has an eye for visual aesthetic.</p><p>
&zwj;</p><h5 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h5><ul><li>
Primary functions include working in PowerPoint and Excel with graphs, charts and infographics to visually represent research data.</li><li>
Additional responsibilities may include: designing and creating video reports, designing visually appealing research project proposals, photographing market research product shelf sets including manipulation of photographed images and creating mock-up websites designs, templates and creative concepts.</li></ul><p>
&zwj;</p><h5 class="jobSectionHeader"><b>
What You Need For Success</b></h5><ul><li>
Proficient in PowerPoint and Excel (including graphs and charts), Adobe Photoshop, Illustrator, and InDesign</li><li>
Familiarity with Google Slides, and Canva a Plus</li><li>
Familiar with digital asset management systems</li><li>
Strong attention to detail and comfort working with data</li><li>
Able to design multi-page layouts featuring typographic hierarchy</li></ul><ul><li>
Ability to manage multiple projects with similar deadlines</li><li>
Strong communication skills both written and verbal</li><li>
Strong adaptability to think flexibly about project prioritization and design visualizations</li><li>
An intense curiosity and ability to proactively ask questions is a must</li></ul><ul><li>
BA or BS Degree in related field</li><li>
High level of integrity and honesty</li><li>
Collaborative mindset and able to work across teams</li><li>
Production design experience is helpful</li></ul><p>
&zwj;</p><h5 class="jobSectionHeader"><b>
Other Information</b></h5><p>
This is a full-time salaried position to be based in our suburban Cincinnati office (Blue Ash) office. Our competitive compensation package includes participation in MarketVision&rsquo;s bonus plan and a generous 401k match. Benefits include paid time off, medical, dental, disability, life, and tuition reimbursement.</p></div></div></div><div></div>

Graphic Design - Data Visualization

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