marketing analytics analyst

Arthrex

<div><div><div><div><div><div><div><div><div><div><div><b>Requisition ID:</b></div> <div>65328</div>
</div><br>
<div><div><b>Title:</b></div> <div>Marketing Data Analyst II</div></div></div></div><br>
<div></div>
<div>
</div><div><b>Main Objective:
</b></div><div>The Marketing Data Analyst works with Marketing Operations, Data &amp; Analytics Center of Excellence, Product Management, and other stakeholders to provide comprehensive data analysis, unlock opportunities through valuable insights and drive decision support solutions leveraging the best-in-class data &amp; analytics tools. The analyst will help mature the use of data with user-friendly analytical tools, dashboards, and advanced analytics so that relevant information can be efficiently gathered, shared, and interpreted by our business teams and their partners.</div><br>
<div></div>
<div><b>
Essential Duties and Responsibilities:</b></div>
<ul>
<li>Implement and manage Google Analytics to track website traffic, user behavior, and conversion rates.</li>
<li>Utilize Google Analytics to monitor and analyze the performance of digital marketing campaigns, identifying areas for improvement.</li>
<li>Extract data from Google Analytics to provide insights on website user journeys and identify conversion funnel bottlenecks.</li>
<li>Extract and transform data from various sources and load it into BigQuery for in-depth analysis.</li>
<li>Write SQL queries and utilize BigQuery's data processing capabilities to analyze large datasets effectively.</li>
<li>Collaborate with cross-functional teams to analyze operational processes within the Marketing Department.</li>
<li>Use data-driven insights to streamline marketing operations, reduce costs, and optimize resource allocation.</li>
<li>Identify and recommend process improvements based on operational analytics findings.</li>
<li>Create visually engaging and informative reports and dashboards using data visualization tools (e.g., Tableau, Power BI).</li>
<li>Share regular reports with key stakeholders, translating complex data into actionable insights.</li>
<li>Maintain data security and compliance with relevant regulations, such as GDPR or CCPA, in data handling and analysis practices.</li>
<li>Stay updated with industry trends, tools, and best practices in data analytics, digital marketing, and data warehousing.</li>
<li>Continuously expand skillset in data analysis, statistical modeling, and data visualization.</li>
<li>Collaborate with marketing teams, IT, and other departments to gather data requirements and share insights.</li>
<li>Clearly communicate findings and recommendations to both technical and non-technical stakeholders.</li>
<li>Occasional travel for training, meetings, or trade shows may be required</li></ul><br>
<div></div>
<div><b>
Additional duties and responsibilities:</b></div>
<div>
Document current processes and models to understand opportunities for improvement</div><br>
<div></div>
<div><b>
Problem Solving:</b></div>
<div>
Develop solutions to a variety of complex problems.</div><br>
<div></div>
<div><b>
Discretion/Latitude:</b></div>
<div>
Work under very general supervision. Work is reviewed for soundness of judgment and overall adequacy and accuracy.</div>
<div>
Use innovative solutions to solve problems and modify solutions when competing policies are present.</div><br>
<div></div>
<div><b>
Education/ Experience:</b></div>
<div>
Bachelor&rsquo;s degree required<br>
2 + years of relevant work experience required
<br>
Intermediate to advanced level of experience with Google Analytics, Tag Manager required<br>
Intermediate to advanced level of experience with SQL required<br>
Intermediate level of experience using Front-End Data Visualization &amp; Analytical Tools is a must</div><br>
<div></div>
<div><b>
Specialized skills:</b></div>
<div>
All from prior Levels, plus...<br>
Experience working in projects where multiple functions/technical experts work in a matrix structure<br>
Business acumen is a plus</div><br>
<div></div>
<div><b>
Machine, Tools, and/or Equipment Skills:</b></div>
<div>
Experience working with a variety of software tools including Microsoft Office Suite and industry leading Analytics and Business Intelligence software.</div><div></div><div><b><br>
Arthrex Benefits</b></div>
<ul>
<li>Medical, Dental and Vision Insurance</li>
<li>Company-Provided Life Insurance</li>
<li>Voluntary Life Insurance</li>
<li>Flexible Spending Account (FSA)</li>
<li>Supplemental Insurance Plans (Accident, Cancer, Hospital, Critical Illness)</li>
<li>Matching 401(k) Retirement Plan</li>
<li>Annual Bonus</li>
<li>Wellness Incentive Program</li>
<li>Free Onsite Medical Clinics</li>
<li>Free Onsite Lunch</li>
<li>Tuition Reimbursement Program</li>
<li>Trip of a Lifetime</li>
<li>Paid Parental Leave</li>
<li>Paid Time Off</li>
<li>Volunteer PTO</li>
<li>Employee Assistance Provider (EAP)</li></ul><br>
<div></div>
<div><b>
All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other status protected by law.</b></div></div></div></div></div></div></div></div><p></p>

Marketing Data Analyst II

Manhattan Associates

<div>
 <p>
  The Sr. Enterprise Analyst &ndash; Marketing operates as part of a Center of Excellence model, reporting into ETS while being dedicated to support the Marketing organization. This role combines traditional marketing business analysis with a Marketing Data Analyst focus.
 </p>
 <p>
  You will:
 </p>
 <ul>
  <li>
   Serve as the primary liaison between Marketing and ETS, translating business needs into clear requirements and partnering with technical teams and vendors to deliver marketing technology solutions.
  </li>
  <li>
   Act as the primary analytics partner for Marketing, building and maintaining Power BI dashboards and SQL Server&ndash;based data solutions that drive data‑informed decisions.
  </li>
  <li>
   Support and evolve the Marketing Platforms ecosystem, maintain the marketing applications architecture and roadmap, coordinate technical implementations (e.g., SSO integrations), and support procurement activities including contract negotiation and vendor management.
  </li>
  <li>
   Work closely with internal business customers to understand business requirements and lead the creation and analysis of functional designs, configuration of business processes, reports, and data loads for Marketing.
  </li>
 </ul>
 <p>
 </p>
 <p>
  You will help ensure marketing platforms and reporting are reliable, secure, integrated, and aligned to business outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    MINIMUM REQUIREMENTS
   </u>
  </strong>
  &ndash;
 </p>
 <ul>
  <li>
   3&ndash;5+ years as a Business Analyst and/or Data Analyst supporting business applications in an enterprise IT environment; marketing tech or marketing analytics experience preferred.
  </li>
  <li>
   Hands‑on experience building Power BI dashboards and working with SQL Server (queries, joins, aggregations, basic performance tuning); strong data analysis, visualization, and data quality assessment skills.
  </li>
  <li>
   Experience supporting SaaS platforms and coordinating vendors/technical teams through implementations and enhancements.
  </li>
  <li>
   Experience with common MarTech platforms (e.g., marketing automation, CMS, webinar/event tools, customer advocacy/community platforms, digital analytics/tag management, personalization tools).
  </li>
  <li>
   Familiarity with CRM‑to‑Marketing workflows (lead lifecycle, campaign taxonomy, scoring, routing) and how they surface in reporting.
  </li>
  <li>
   5+ years&rsquo; experience documenting business process flows (MS Visio or similar).
  </li>
  <li>
   5+ years&rsquo; experience to eliciting, document, and manage business and functional requirements including business process flows (MS Visio or similar), BRD/FRD, user stories, across multiple stakeholders and teams.
  </li>
  <li>
   3+ years&rsquo; experience with Agile delivery (e.g., Jira/Azure DevOps), including writing user stories and acceptance criteria, plus experience with Agile/Waterfall software delivery methodologies.
  </li>
  <li>
   3+ years&rsquo; experience using Jira, Bitbucket, Confluence or similar Agile toolsets.
  </li>
  <li>
   5+ years&rsquo; experience translating requirements into test scripts and supporting testing/UAT.
  </li>
  <li>
   3+ years&rsquo; experience with IT ticketing software (e.g., Quality Center, ServiceNow, Jira).
  </li>
  <li>
   3+ years&rsquo; experience with SharePoint for document management and sharing.
  </li>
  <li>
   Experience with software lifecycle management: intake, prioritization, change control, testing, and release readiness.
  </li>
  <li>
   Vendor management and collaboration with Procurement/Legal/Finance on contracts and renewals.
  </li>
  <li>
   Working knowledge of identity and access concepts (SSO, SAML/OIDC, user provisioning) and coordinating technology integrations and implementations.
  </li>
  <li>
   Understanding of integration concepts (APIs, data sync, middleware/iPaaS) and data flow mapping.
  </li>
  <li>
   High proficiency in Microsoft Office products.
  </li>
  <li>
   Ability to learn, understand, and adopt new software platforms and processes.
  </li>
  <li>
   Governance mindset for metrics, definitions, and reporting assets.
  </li>
  <li>
   Excellent communication skills&mdash;able to translate between technical teams, data concepts, and non‑technical stakeholders.
  </li>
  <li>
   Experience working with small, geographically distributed teams and operating both independently and collaboratively.
  </li>
  <li>
   Ability to be flexible while delivering assignments, understanding that deliverables may change based on business needs.
  </li>
  <li>
   Comfort operating in ambiguity and driving decisions with incomplete information.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    EDUCATION REQUIREMENTS
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, information systems, marketing analytics or equivalent
  </li>
 </ul>
 <p>
 </p>
</div>


Marketing Data Analyst

The Walt Disney Company

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 The Data Organization within The Walt Disney Company Direct to Consumer (DTC) business is seeking a Data Analyst to join our Marketing Analytics team. This team plays a crucial role in supporting products across Disney+, Hulu, and ESPN. This initiative is key to the expansion of DTC's streaming services in the US. Our team uses data, statistical modeling/techniques, experimentation frameworks, and other tools to help our business clients make informed, data-driven decisions.
 <br/>
 <br/>
 Our objective is to analyze subscriber growth, engagement, retention, and overall behavior across Disney+, Hulu, and ESPN to deliver actionable insights to our partners across Marketing, Product, Data Science, and Data Solutions. We are committed to generating high-quality, high-impact analyses and ongoing reports to inform the strategic planning of our business partners concerning subscriber acquisition, engagement, and retention. We aim to educate the broader organization on the impact of promotions, major content releases, product launches, and other significant initiatives on our overall family of streaming services. We seek a data analyst who is proficient in working with large, complex datasets and possesses a strong ability to discover patterns and dig deeper into their causes and implications.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner closely with business leaders to define the most pressing business challenges on subscriber growth, engagement, and retention trends and drivers and build analytical frameworks to answer these questions
  </li>
  <li>
   Help to craft an ongoing insights pipeline, ensuring that all business partners have a continuous stream of product intel
  </li>
  <li>
   Perform comprehensive trend analyses, evaluating the contributions of drivers from all possible angles
  </li>
  <li>
   Define and analyze audience segments to continue driving subscriber growth
  </li>
  <li>
   Partner with other Analytics teams to understand and harness all available data from disparate sources, uniting insights into a cohesive, actionable story
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Data Analytics, Mathematics, Data Science, or related field of study
  </li>
  <li>
   3+ years of hands-on analytical work experience with SQL. Experience with Python/R or other statistical packages (PySpark) is a plus.
  </li>
  <li>
   Expertise manipulating large data sets, interpreting data trends, and using a multitude of disparate data sources and tools
  </li>
  <li>
   Experience with data visualization tools such as Tableau, Looker, etc.
  </li>
  <li>
   Solid analytical skills with the ability to apply business strategy to data analysis and recommendations
  </li>
  <li>
   Highly collaborative with exceptional communication and presentation skills, including the ability to tell a story with data and to synthesize findings into actionable recommendations
  </li>
  <li>
   Familiar with other data tools such as Airflow, Databricks, etc.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in the streaming media industry or other subscription-based service
  </li>
  <li>
   Experience working with Marketing teams or in the Marketing landscape
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 #DISNEYTECH
 <br/>
 <br/>
 #DisneyAnalytics
 <br/>
 <br/>
 The hiring range for this position in San Francisco, CA is $106,800 - $143,200 and in Glendale, CA is $97,500 - $130,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate&rsquo;s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
</div>


Data Analyst

Airtable

<div><div><p>Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.</p></div><p>
Airtable's Data Science &amp; Analytics team seeks an Analytics Engineer to embed within our Marketing organization. This is a high-impact, early-career role. You will be responsible for building the canonical data infrastructure, owning critical dashboards, and enabling Marketing stakeholders to execute faster, more confident, data-driven decisions.</p>
<p>
We require a genuinely AI-native professional&mdash;not merely familiar with tools like Claude, Cursor, or ChatGPT, but one who integrates them as a core part of their daily workflow. The successful candidate will possess a full-stack mindset, a bias for action, and deep curiosity about how marketing data drives tangible business outcomes.</p>
<p><b>
About the Team</b></p>
<p>
The Data Science &amp; Analytics team at Airtable is the company-wide partner for building data infrastructure, metrics, and insights that directly inform decision-making. The Marketing Analytics Engineer will embed with the Marketing organization, working directly with GTM data and Airtable's core data stack: dbt, Databricks, Looker, and Omni.</p>
<h1 class="jobSectionHeader"><b>
What you'll do</b></h1>
<ul><li><b>Canonical Marketing Data Sources</b>
<ul><li><b>Design and maintain</b> trustworthy data models for core marketing metrics, managing the full lifecycle from prototyping through production.</li>
<li><b>Develop and govern</b> dbt data pipelines, establishing data integrity standards and SLAs for timely, accurate delivery across the Marketing organization.</li>
</ul></li><li><b>Critical Dashboards and Self-Serve Tooling</b>
<ul><li><b>Build and optimize</b> dashboards that deliver real-time, self-serve insights across high-priority marketing areas: campaign performance, funnel conversion, pipeline contribution, and lead scoring.</li>
<li><b>Drive data independence</b> for Marketing stakeholders, eliminating reliance on ad-hoc data requests and manual reporting.</li>
</ul></li><li><b>AI-Native Data Infrastructure</b>
<ul><li><b>Collaborate</b> with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.</li>
<li><b>Lead the development</b> of tools that facilitate natural language data access and AI-assisted reporting for non-technical stakeholders.</li>
</ul></li><li><b>Trusted Partnership</b>
<ul><li><b>Serve as the primary data partner</b> for marketing managers, demand generation teams, and leadership.</li>
<li><b>Translate complex data insights</b> into clear business recommendations via dashboards, memos, and presentations.</li>
</ul></li><li><b>Domain Expertise</b>
<ul><li><b>Achieve a comprehensive mastery</b> of Airtable's marketing data models, existing pipelines, and BI tools (dbt / Looker / Omni) within the first 6 months, becoming the definitive internal expert.</li>
</ul></li></ul><h1 class="jobSectionHeader"><b>Who you are</b></h1>
<ul><li><b>Must-Have</b>
<ul><li>Expert-level SQL: Proven ability to write complex queries involving joins, aggregations, and window functions.</li>
<li>Proficiency with dbt or equivalent data transformation tools.</li>
<li>Experience with BI and visualization platforms (Looker, Omni, Tableau, Hex, or similar).</li>
<li>Active, demonstrated daily use of AI coding tools (Cursor, Claude, ChatGPT, Gemini). Candidates must provide specific, concrete examples of how these tools are integral to their work, moving beyond simple familiarity.</li>
<li>Mandatory use of GitHub for version control in a standard development workflow.</li>
<li>Exceptional communication skills: the ability to translate technical data findings into compelling business narratives for non-technical leadership.</li>
</ul></li><li><b>Nice-to-Have</b>
<ul><li>Python for data work (pandas, ETL scripting, or analysis).</li>
<li>Prior exposure to marketing data concepts: attribution, funnel metrics, lead scoring, or campaign performance.</li>
<li>Familiarity with CRM (Salesforce) or marketing automation platforms (Marketo).</li>
<li>Experience with Databricks or cloud data warehouses.</li>
<li>A public portfolio showcasing data or AI-assisted engineering work (GitHub, personal projects, Kaggle).</li>
</ul></li><li><b>Full-stack Mindset:</b> You own problems end-to-end and drive the solution, even if it requires expanding the original scope.</li>
<li><b>Bias for Action:</b> You prioritize effective delivery over perfection, operating with a 'ship, learn, and iterate' mentality.</li>
<li><b>Genuinely AI-Native:</b> AI tools are fundamental to your work process. You leverage them to write cleaner SQL, debug models faster, generate documentation, and prototype solutions, and can articulate your specific usage.</li>
<li><b>Data Storyteller:</b> You provide definitive business closure&mdash;framing findings as actionable recommendations, not just delivering technically correct output.</li>
<li><b>Thrives in Ambiguity:</b> You proactively create clarity and forward momentum, even when requirements are incomplete or rapidly changing.</li>
</ul>
<p>Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant<b>.</b></p>
<p>
VEVRAA-Federal Contractor</p>
<p>
If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.</p><div><p>
Please see our Privacy Notice for details regarding Airtable's collection and use of personal data relating to the application and recruitment process by clicking here.<br>
<br>
For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process.</p>
<p>
 <b>Stay Safe from Job Scams</b><br>
All official Airtable communication will come from an <b>@airtable.com</b> email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.</p></div></div>

AI Analytics Engineer (Marketing Analytics)

LatentView Analytics

<div>
 <p>
  Latent View Analytics is one of the world&rsquo;s largest and fastest-growing digital analytics firms.
 </p>
 <p>
  We help companies drive digital transformation by helping them combine digital and traditional data to gain a competitive advantage. Latent View provides a 360-degree view of the digital consumer, enabling companies to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, and optimize investment decisions.
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   +5 years of experience working in web, product, marketing, or other related analytics fields to solve for marketing/product business problems
  </li>
  <li>
   +4 years of experience in designing and executing experiments (A/B and multivariate) with a deep understanding of the stats behind hypothesis testing
  </li>
  <li>
   Proficient in alternative A/B testing methods like DiD, Synthetic control and other causal inference techniques
  </li>
  <li>
   +5 years of technical proficiency in SQL, Python or R and data visualization tools like tableau
  </li>
  <li>
   +5 years of experience in manipulating and analyzing large complex datasets (e.g. clickstream data), constructing data pipelines (ETL) and working on big data technologies (e.g., Redshift, Spark, Hive, BigQuery) and solutions from cloud platforms and visualization tools like Tableau
  </li>
  <li>
   +3 years of experience in web analytics, analyzing website traffic patterns and conversion funnels
  </li>
  <li>
   +5 years of experience in building ML models (eg: regression, clustering, trees) for personalization applications
  </li>
  <li>
   Demonstrate ability to drive strategy, execution and insights for AI native experiences across the development lifecycle (ideation, discovery, experimentation, scaling)
  </li>
  <li>
   Outstanding communication skills with both technical and non-technical audiences
  </li>
  <li>
   Ability to tell stories with data, influence business decisions at a leadership level, and provide solutions to business problems
  </li>
  <li>
   Ability to manage multiple projects simultaneously to meet objectives and key deadlines
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Drive measurement strategy and lead E2E process of A/B testing for areas of web optimization such as landing pages, user funnel, navigation, checkout, product lineup, pricing, search and monetization opportunities
  </li>
  <li>
   Analyze web user behavior at both visitor and session level using clickstream data by anchoring to key web metrics and identify user behavior through engagement and pathing analysis
  </li>
  <li>
   Leverage AI/GenAI tools for automating tasks and building custom implementations
  </li>
  <li>
   Use data, strategic thinking and advanced scientific methods including predictive modeling to enable data-backed decision making for Intuit at scale
  </li>
  <li>
   Measure performance and impact of various product releases Demonstrate strategic thinking and systems thinking to solve business problems and influence strategic decisions using data storytelling.
  </li>
  <li>
   Partner with GTM, Product, Engineering, Design, Engineering teams to drive analytics projects end to end
  </li>
  <li>
   Build models to identify patterns in traffic and user behavior to inform acquisition strategies and optimize for business outcomes .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  EEO Statement
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   &ldquo;At Latent View Analytics LLC, we value a diverse, inclusive workforce and we provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual&rsquo;s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at usrec@latentview.com. LatentView Analytics LLC will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.&rdquo;
  </em>
 </p>
 <p>
 </p>
</div>


Data Scientist

Ørsted

<div><div><p><b>Application deadline
</b></p></div><div></div><div><p><b>Country
</b></p>United States
</div><div><p><b>Location
</b></p>Chicago
</div><div><p><b>Working hours
</b></p></div><div><p><b>Employment type
</b></p></div><div><p><b>Legal entity
</b></p>Orsted North America Inc</div></div><p></p>
<br><div><p><b>Why join?
</b></p><div><div>Fully paid medical premium</div>
</div><div><div>Generous parental leave package</div>
</div><div><div>Numerous opportunities for growth and development</div>
</div><div><div>Attractive offer of paid vacations annually</div></div></div>
<br><div></div><div><p><b>Employer:</b> &Oslash;rsted North America Inc.</p><p><b>
Job Title: </b>Market Analytics Analyst</p><p><b>
Salary:</b> $112,804 per year + Benefits (https://us.orsted.com/careers/united-states)</p><p><b>
Locations:</b> 401 N. Michigan Avenue, Suite 501, Chicago, IL 60611</p><p><b>
Duties:</b></p><ul><li>
Establish and manage projects focused on research, market model development, and technology deployment to deliver critical insights for decision-makers across the commercial timeline for storage, wind, and solar assets.</li><li>
Develop analytical tools to support the region&rsquo;s storage ambitions while also providing insights into key market components influencing the development of battery energy storage systems (BESS).</li><li>
Develop and refine BESS optimization frameworks, integrating cross-functional insights into battery trading strategies to maximize commercial value.</li><li>
Provide strategic investment guidance and portfolio capacity recommendations based on forward-looking storage analytics.</li><li>
Develop forecasting models for storage performance by incorporating evolving market trends, operational constraints, and pricing scenarios.</li><li>
Incorporate modeling techniques to advise on option value pricing for solar and wind power purchase agreements (PPA).</li><li>
Design and implement models to assess the diversification and risk hedging impact of new and existing assets in the portfolio.</li><li>
Build expertise in fundamental market drivers, pricing dynamics across power and lithium markets, and key trading strategies.</li><li>
Develop and implement new analytical models and tools across commercial and trading/operations environments.</li><li>
Oversee the creation and operation of dashboards tracking real-time and historical generation-weighted pricing metrics and BESS spread performance for both operating and pipeline assets.</li><li>
Partner with technical and business stakeholders to resolve complex data issues and ensure continuity of analytical workflows.</li></ul><p><b>
Requirements:</b></p><ul><li>
Master&rsquo;s degree (or foreign equivalent) in data science, statistics, mathematics, computer science, or related field.</li></ul><ul><li>
Requires knowledge of SQL, Python, and R; predictive modeling; and time series forecasting.</li></ul><ul><li>
Requires experience in conducting feasibility studies; financial analysis; establishing market strategies; optimization techniques (linear and nonlinear programming); advanced analytical methods for forecasting revenue; developing and implementing statistical algorithms, including market simulation; and developing and deploying dashboards, market models, analytical tools, and optimization frameworks to evaluate market dynamics and asset development.</li></ul><p><b>
Apply:</b> https://us.orsted.com/careers.</p></div>

Market Analytics Analyst

YO IT CONSULTING

<div><p>Join our Business Intelligence Analyst Expert Network to connect with leading AI labs and companies seeking your expertise. <b>This is an open application for future contract opportunities that match your background and interests.</b></p>
<p>Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis.</p>
<div><div><p><b>What we're looking for:</b></p>
<ul><li><p>Professional experience in SQL &amp; data querying, data visualization (Tableau/Power BI), data modeling &amp; warehousing</p>
</li><li><p>Strong communication skills</p>
</li><li><p>Ability to work independently in a remote environment</p>
</li></ul><p><b>How it works:</b></p>
<p>This is not a specific job posting. By applying, you're joining our Business Intelligence Analyst talent network.</p>
<ul><li><p>Apply once: Complete your profile by uploading your resume and confirming your work location.</p>
</li><li><p>Get verified: We review your credentials and approve qualified experts.</p>
</li><li><p>Stay connected: When projects need Business Intelligence Analyst expertise, we match you to opportunities based on your expertise and project needs.</p>
</li><li><p>Start working: Be invited to interview for opportunities that align with your schedule and interests. You will earn competitive rates while working remotely on your own schedule.</p>
</li></ul><p>We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Contract and Payment Terms</b></h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div></div></div>

Marketing Analyst Remote

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