analytics analyst

Plews Inc.

<div><h2 class="jobSectionHeader">About PlewsEdelmann</h2>
PlewsEdelmann&reg; is a leading manufacturer and marketer of Edelmann&reg; power steering hoses, electric power steering belt replacement kits, torque sensors, couplings and tools, power steering seal and rebuild kits, turbocharger oil lines, Edelmann Elite&reg; high performance power steering hoses, all new manufactured power steering rack and pinion assemblies, pumps, gear boxes, remote reservoirs, power steering coolers, premium universal power steering filter and fluid. With over 60 years of experience in the automotive aftermarket, PlewsEdelmann is committed to delivering high-quality steering system solutions while driving innovation, operational excellence, and customer satisfaction throughout the industry.<h2 class="jobSectionHeader">
Position Summary</h2>
Are you passionate about turning data into strategic business insights? Do you thrive on automation, analytics, AI, and solving complex business challenges? PlewsEdelmann is seeking a highly analytical and technically driven Business IntelligenceAnalytics Analyst to help accelerate our Product Management and market intelligence capabilities. This role serves as a strategic force multiplier by leveraging automation, AI, Power BI, and advanced data analytics to drive smarter business decisions, optimize digital product execution, and improve operational efficiency. This position bridges raw data and executive strategy while helping shape the future of analytics and digital transformation within the automotive aftermarket industry.<h2 class="jobSectionHeader">
Key Responsibilities</h2>
Automated MarketCompetitive Intelligence<ul><li>
Design and maintain automated web scrapers to monitor competitor pricing and market activity across major automotive platforms</li><li>
Analyze competitor product offerings, interchange data, and application fitment to identify market opportunities</li><li>
Gather and analyze customer review sentiment using AI-driven tools to generate actionable product and marketing insights</li></ul>
Data StrategyPlatform Execution<ul><li>
Optimize product listings across retail and wholesale platforms to improve visibility and conversion</li><li>
Ensure complete and accurate product attribute data, including technical specifications and fitment details</li><li>
Maintain and improve interchange databases across OEM and competitor part numbers</li></ul>
AI OperationsWorkflow Automation<ul><li>
Develop and deploy AI agents to automate repetitive or high-volume tasks</li><li>
Identify workflow bottlenecks and build automated solutions using Power Query, Python, AI tools, and related technologies</li><li>
Support technical data readiness for future e-commerce growth and marketplace expansion</li></ul>
VisualizationReporting<ul><li>
Build Power BI dashboards that provide actionable business intelligence and market visibility</li><li>
Translate complex data into executive-level insights, trends, and strategic recommendations</li></ul><h2 class="jobSectionHeader">
Qualifications</h2>
Technical Skills<ul><li>
Advanced proficiency in Power BI, Excel (including Power Query), and SQL</li><li>
Experience with Python or similar automation/scraping frameworks</li><li>
Familiarity with AI tools, LLMs, and AI-driven workflows/agents</li></ul>
Preferred Experience<ul><li>
Experience with automotive aftermarket data standards and retail marketplaces such as Amazon or Walmart</li><li>
Ability to manage complex cross-functional projects and execute independently</li><li>
Strong analytical thinking, problem-solving, and communication skills</li></ul><h2 class="jobSectionHeader">
Why Join PlewsEdelmann?</h2><ul><li>
Opportunity to help shape the future of analytics and AI within a growing manufacturing organization</li><li>
Collaborative environment with cross-functional exposure</li><li>
High-impact role influencing business strategy and operational performance</li></ul></div>

Business Intelligence & Analytics Analyst

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Ready to join a team that is the driving force behind regulatory capital excellence at JPMorganChase? The Basel Measurement and Analytics (BM&amp;A) Team within Treasury functions as trusted partners to key areas such as Capital Management, Capital &amp; Liquidity Policy (C&amp;LP), Credit Risk Reporting, Firmwide Regulatory Reporting &amp; Analysis (FRRA), and the Lines of Business (LOBs). We champion best practices and accountability in the Regulatory Capital and Risk-Weighted Assets (RWA) production process. Our team delivers Firmwide Capital and RWA results every month, while leading the implementation, design, and reporting infrastructure for Basel Rules and other capital requirements including Supplementary Leverage Ratio (SLR) and the Capital Numerator. Additionally, our team manages Quantitative Impact Studies (QIS) for regulators and provides expert responses to stakeholder inquiries on capital-related matters and estimates.
As an Analyst in the Basel Measurement and Analytics (BM&amp;A) team, you will work with line of business Controllers to support the calculation and analysis of RWA results. You will be responsible for producing RWA under Basel rules, analyzing quarter-over-quarter RWA variances, and interfacing with LOB controllers to determine variance drivers such as portfolio changes, policy updates, and capital treatment. You will be involved in the end-to-end production process and be part of issue identification, tracking, and resolution. Additionally, you will be instrumental in supporting and leading projects to advance the current Capital Infrastructure.
Job Responsibilities
<ul><li>Support the collection and aggregation of monthly RWA datasets</li>
<li>Perform routine data validation controls for reporting accuracy</li>
<li>Analyze period-over-period exposure and RWA trends</li>
<li>Investigate and resolve data gaps and reporting issues</li>
<li>Complete monthly and quarterly reporting deliverables with urgency</li>
<li>Support project work and test cases</li>
<li>Collaborate with business partners and handle day-to-day inquiries</li>
<li>Prepare and present updates to senior management and extended stakeholders</li>
</ul>Required qualifications, capabilities and skills
<ul><li>Bachelor's Degree in Finance, Accounting, Management Information Systems, or Economics</li>
<li>Treasury, Financial or Regulatory Reporting experience at a financial institution or related intern/co-op experience</li>
<li>Strong problem solving and analytical skills, able to work independently, and possess a controls mindset</li>
<li>Self-motivated individual who seeks challenges</li>
<li>Strong communication and relationship-building skills</li>
<li>Excellent organizational skills and control focus</li>
<li>Ability to work well under pressure</li>
<li>Superior attention to detail and process-orientation</li>
<li>Expert in Microsoft Excel required and some SQL experience</li>
</ul>Preferred qualifications, capabilities and skills
<ul><li>Knowledge of Basel III rules and/or experience with Basel regulatory capital rules preferred</li>
<li>Knowledge of Alteryx, Databricks or Python is a plus</li>
<li>Advanced degree in a related field</li>
<li>Experience in a production or operations environment preferred</li>
<li>Experience in project management, creating scorecards and visualizations/dashboards preferred</li>
<li>Experience/supporting background related to driving large initiatives across multiple functional groups preferred</li>
<li>Experience/knowledge of credit risk management and reporting</li>
</ul>Additional Information
To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase &amp; Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Basel Measurement & Analytics - Analyst

Shutterfly

<div>At Shutterfly, we make life&rsquo;s experiences unforgettable. We believe there is extraordinary power in the self-expression. That&rsquo;s why our family of brands helps customers create products and capture moments that reflect who they uniquely are. 
As the Sr. Growth Analytics Analyst II at Shutterfly, you&rsquo;ll join a dynamic team that values collaboration, learning, and innovation. In this role, you&rsquo;ll both lead a team and contribute directly to key analytics projects. You will work closely with partners across Marketing, Personalization, E-commerce, Marketing Technology, Category Business Management, and other cross-functional groups, helping to identify and track the metrics that drive profitability and growth. Your insights will guide stakeholders as they build a world-class, data-driven organization. 
 
What you will do: 
<ul><li>Collaborate with CRM marketing and e-commerce teams, serving as the go-to expert for analytics and data processes.</li><li>Lead and promote a test and learn culture across CRM and personalization channels, including the design and analysis of A/B tests to support data-driven optimizations.</li><li>Design effective measurement strategies and integrate data from multiple sources to answer complex business questions.</li><li>Retrieve, analyze, and interpret data to deliver actionable insights that inform decision-making.</li><li>Develop and maintain expertise in relevant data sets; proactively identify critical data to capture for business needs.</li><li>Establish measurement frameworks and KPIs for business initiatives, build reports and dashboards, and work with the Business Intelligence team to ensure reporting meets stakeholder needs.</li><li>Stay up-to-date with industry trends, emerging technologies, and best practices in data analytics.</li><li>Form strong relationships across the organization to support the successful adoption of data-driven strategies.</li></ul>
 
The Skills You'll Bring: 
<ul><li>Highly skilled at writing and optimizing SQL queries to analyze large data sets in a cloud database environment</li><li>Excellent data storyteller adept at summarizing complex data analysis into easy-to-understand visuals and presentations up to an executive level</li><li>A self-sufficient problem solver with the ability to think critically, understand stakeholders needs, and develop analytics frameworks to answer often ambiguous business questions</li><li>Excel power user and experience building reports and dashboards in PowerBI while following data visualization best practices</li><li>A self-starter who takes ownership of their domain and establishes processes to organize requests into a manageable workflow</li><li>Great communicator who sets clear expectations and anticipates questions and concerns in advance\</li><li>Working knowledge of key analytics principles such as randomized control experimentation, digital/web/app analytics, cohort analysis, attribution, etc.</li><li>B.S. or M.S. degree in quantitative field and 7+ years of progressive experience in an analytical role.</li></ul>
Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it&rsquo;s the right thing to do for our business and for our people. We welcome all applicants and evaluate them based on their qualifications. Learn more about our commitment to Diversity, Equity, and Inclusion on our Career Site.
This position will accept applications on an ongoing basis until filled.
The compensation package for this role is based on multiple factors, such as job level, responsibilities, location, and candidate experience. The base pay ranges included below are specific to the locations listed, and may not be applicable to other locations.
California : [$106,000-$151,000]
Connecticut and New York: [$106,000-$138,250]
Colorado, Illinois, Minnesota and Washington: [$106,000-$128,000]
Nevada: [$99,750-$138,250]
Maryland and New Jersey: [$114,500-$138,250]
Hawaii : [99,750 &ndash; $120,250]
This position may be eligible for a bonus incentive, health benefits, a 401K program, and other employee perks. More details about our company benefits can be found at https://shutterflyinc.com/benefits/.
This opportunity can be remote, but candidates must reside in a state in which Shutterfly is registered to do business. This includes all US states except District of Columbia, North Dakota, Mississippi, Rhode Island, Vermont, and Wyoming.
This position will accept applications on an ongoing basis until filled.</div>

Sr. Growth Analytics Analyst II

McKinsey & Company

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 In the role of a Capabilities &amp; Insights Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data-driven solutions and innovative approaches.
 
 
 You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.
 
 
 As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low-code/no-code tools and Python and visualization tools.
 
 
 In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm&rsquo;s proprietary innovation portfolio.
 
 
 We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology
 </li>
 <li>
 3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)
 </li>
 <li>
 Solid understanding and application of Programming in Python and/or R
 </li>
 <li>
 Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)
 </li>
 <li>
 Familiarity with SQL and data querying from relational databases or cloud-based environments
 </li>
 <li>
 Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
 </li>
 <li>
 Excellent problem-solving skills, particularly in analytical and quantitative areas
 </li>
 <li>
 Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently
 </li>
 <li>
 Willingness and ability to travel to client and McKinsey locations within and outside the country
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Excellent written and verbal communication skills in Arabic and English
 </li>
 </ul>
</div>

Capabilities & Insights Analytics Analyst - Healthcare

Midlands Mechanical Inc.

Senior Financial Systems &amp; Analytics AnalystDepartment: Finance / FP&amp;AReports to: Head of FinanceLocation: On-site (this is an in-office role; remote/hybrid is not available)Employment Type: Full-timeAbout the RoleWe are seeking an experienced and strategically minded Senior Financial Analyst to serve as a key partner to our Finance leadership and the broader business. In this role, you will own the company's core forecasting, budgeting, and management-reporting processes end to end, and you will set the standard for how financial analysis is produced, automated, and communicated across the organization.This is a senior, high-visibility position for someone who has moved beyond producing analysis on request to shaping the questions the business should be asking. You should be equally credible building a sophisticated three-statement model, leveraging AI tools to produce the SQL and code behind it, and presenting the resulting recommendation to executives. You do not need to be a deep, hands-on programmer &mdash; but you do need enough technical understanding to know what to ask of these tools, direct them effectively, and confirm the results are correct. You will also help raise the technical bar of the finance team &mdash; designing automated workflows and championing the responsible use of AI.Key ResponsibilitiesFinancial Planning &amp; Analysis<ul><li>Own and continuously improve the company's financial models for forecasting, scenario planning, and long-range strategic planning.</li></ul><ul><li>Lead the annual budgeting process and periodic reforecasts end to end, partnering directly with department heads and senior leadership.</li></ul><ul><li>Drive variance analysis (actuals vs. budget vs. forecast), translating the numbers into a clear narrative and concrete recommendations.</li></ul><ul><li>Define, track, and refine the KPIs and operational metrics leadership uses to run the business.</li></ul>Accounting &amp; Reporting<ul><li>Apply strong command of core accounting principles (accruals, the matching principle, debits/credits, and the interplay between the income statement, balance sheet, and cash flow statement) to ensure analysis is grounded and defensible.</li></ul><ul><li>Partner with Accounting on the month-end and quarter-end close, including complex reconciliations and accruals.</li></ul><ul><li>Produce executive- and board-ready reports, dashboards, and presentations, and set the quality standard for reporting across the team.</li></ul>Data, Automation &amp; Tooling<ul><li>Produce and refine SQL queries to extract and transform data from financial systems and databases &mdash; writing them directly or generating them with AI tools &mdash; with enough understanding to direct the tools and validate the output.</li></ul><ul><li>Build and maintain automated reporting and data-processing workflows using VBA / Excel macros, whether written by hand or generated with AI assistance and refined to fit the need.</li></ul><ul><li>Own data integrity across reporting tools and reconcile figures back to source systems.</li></ul><ul><li>Champion and leverage AI tools and large language models to create SQL, code, macros, and automation &mdash; enabling fast, high-quality results without requiring deep coding expertise. The emphasis is on knowing what to ask, iterating toward the right output, and validating accuracy before relying on it.</li></ul><ul><li>Use Python (directly or AI-assisted) for data analysis, automation, and ad hoc modeling. (Preferred)</li></ul><ul><li>Use JavaScript / Node.js to build or support internal tools, integrations, or dashboards. (Optional / Preferred)</li></ul>Business Partnering &amp; Leadership<ul><li>Act as a trusted advisor to leaders across Operations, Sales, and the executive team, translating business questions into rigorous analysis.</li></ul><ul><li>Lead analytical support for strategic initiatives, pricing decisions, and investment and ROI evaluations.</li></ul><ul><li>Work closely with leadership to deliver insights, metrics, and reports in a variety of formats, giving them greater visibility into the financial and operational health of the business.</li></ul><ul><li>Present findings and recommendations to senior management clearly, concisely, and persuasively, and defend assumptions under scrutiny.</li></ul>Required QualificationsEducation &amp; Experience<ul><li>Bachelor's degree in Finance, Accounting, Economics, Mathematics, Data Science, or a related field &mdash; or equivalent professional experience that demonstrates mastery of the same competencies.</li></ul><ul><li>5+ years of progressive experience in financial analysis, FP&amp;A, accounting, or a comparable analytical role, including ownership of significant processes or deliverables.</li></ul>Core Finance &amp; Accounting<ul><li>Deep, demonstrated command of accounting fundamentals and the three core financial statements.</li></ul><ul><li>Extensive hands-on experience leading forecasting and budgeting processes.</li></ul><ul><li>Advanced financial modeling skills and expert proficiency in Microsoft Excel.</li></ul>Technical Skills (Required)<ul><li>SQL &mdash; ability to produce queries that pull and shape data (joins, aggregations, subqueries), whether written directly or generated with AI tools, with the understanding to confirm the output is accurate.</li></ul><ul><li>VBA &mdash; ability to create and maintain macros that automate Excel workflows, written by hand or generated with AI assistance and refined.</li></ul><ul><li>Accounting software &mdash; confident, hands-on understanding of how to navigate, extract data from, and reconcile within accounting/ERP systems (e.g., QuickBooks, NetSuite, SAP, Oracle, Sage 300 CRE, Trimble Construction, or similar).</li></ul><ul><li>AI tools &mdash; fluency in using AI and large language models to generate code and analysis, support reporting, and accelerate work, with the judgment to verify outputs and guide others on responsible use.</li></ul><ul><li>Microsoft Office &mdash; strong working knowledge across the Office suite, including Excel, Word, Outlook, and PowerPoint.</li></ul>Preferred / Optional QualificationsThese are not required but will strengthen an application:<ul><li>Python &mdash;for data analysis, automation, presentation.</li></ul><ul><li>JavaScript and Node.js &mdash; for building or supporting internal tools, integrations, or web-based dashboards.</li></ul><ul><li>Experience with BI/visualization tools (Power BI, Tableau, Looker).</li></ul><ul><li>Deep or administrator-level experience with a specific ERP/accounting platform (e.g., NetSuite, SAP, QuickBooks, Sage 300 CRE, Trimble Construction).</li></ul><ul><li>Experience integrating or building custom workflows on top of AI tools (e.g., prompt engineering, API-based automation).</li></ul><ul><li>Prior experience leading projects or cross-functional initiatives.</li></ul><ul><li>Comfort working with terminal / command-line commands for tasks such as running scripts, managing files, or interacting with tools and data pipelines.</li></ul><ul><li>Experience with Microsoft Project for project scheduling, planning, and tracking.</li></ul>Core Competencies<ul><li>Strategic Thinking: Connects analysis to business strategy and anticipates the questions leadership will ask.</li></ul><ul><li>Leadership: Raises the bar for the team, reviews work constructively, and sets a high standard for quality.</li></ul><ul><li>Teamwork &amp; Collaboration: Works effectively across functions, shares knowledge openly, and builds trust with stakeholders.</li></ul><ul><li>Deadline Management: Reliably delivers accurate work under pressure, manages competing priorities, and communicates proactively about timelines.</li></ul><ul><li>Attention to Detail: Maintains a high standard of accuracy and treats data integrity as non-negotiable.</li></ul><ul><li>Analytical &amp; Critical Thinking: Breaks down complex problems, questions assumptions, and identifies the story behind the numbers.</li></ul><ul><li>Communication &amp; Influence: Explains financial concepts clearly to finance and non-finance audiences and persuades through evidence.</li></ul><ul><li>Ownership &amp; Initiative: Takes full responsibility for deliverables, drives process improvement, and operates autonomously.</li></ul>What We Offer<ul><li>Competitive base salary and performance-based bonus.</li></ul><ul><li>Health, dental, and vision insurance.</li></ul><ul><li>Work funded Retirement plan.</li></ul><ul><li>Paid time off.</li></ul><ul><li>Professional development support (certifications, training, conferences).</li></ul><ul><li>A collaborative team and a clear path for career growth.</li></ul>Pay: $80,000.00 - $110,000.00 per yearBenefits:<ul><li>Dental insurance</li><li>Flexible spending account</li><li>Health insurance</li><li>Paid time off</li><li>Retirement plan</li><li>Vision insurance</li></ul>Work Location: In person

Senior Financial Systems & Analytics Analyst

Howard-Sloan Search

<div>
 
 
 Our client Global Investment Management Firm
 
 
 
 
 is seekng
 
 
 
 Data Science &amp; Analytics (DSA) &ndash; Analyst (Quant) - Associate
 
 
 
 for a
 
 Full Time role
 
 
 4 days onsite / 1 day remote in their Park Avenue, New York offices
 
 
 
 Salary:
 
 $95&ndash;100K base / 10&ndash;15% bonus
 
 
 
 Level
 
 : Analyst, Data Science &amp; Analytics
 
 
 
 
 
 
 This role Reports to
 
 :
 
 
 MD, DSA
 
 
 &amp;
 
 
 Executive Director, AI &amp; Business Analysis (AI Lead)
 
 
 
 
 
 
 you will be working directly with
 
 :
 
 
 MDs, Bankers, AI Business Analysts, Data Scientists, IT Developers, Business Management, Product/Technology Teams across Global organisation
 
 
 
 
 
 seeking Data Science &amp; Analytics Analyst (Python/SQL) passionate about applying quantitative methods to solve real business problems and shaping the future of data-driven advisory,
 
 
 seeking a technically strong Data Science &amp; Analytics Analyst who thrives at the intersection of analytics, financial services, and execution.
 
 
 Requres strong quantitative instincts, sound coding skills, and an interest in using data science, machine learning, and AI to support client-facing work and the firm&rsquo;s broader internal AI platform. The role is expected to support client work first, while also contributing to reusable internal capabilities, models, tooling, and workflows over time.
 
 
 As a Data Science &amp; Analytics Analyst, you will work closely with senior team members, bankers, and business partners to analyze data, build models, structure datasets, and generate insights that improve decision-making, productivity, and client outcomes. You should be comfortable moving from problem definition to analysis to model development to clear communication of results.
 
 
 
 
 
 Firm is expanding its data science and AI capabilities to better support client delivery, banker productivity, and scalable internal innovation.
 
 
 
 
 
 Firm's vision is to build practical, high-impact analytical and AI capabilities that create measurable value.
 
 
 To achieve this, we need an Analyst who can:
 
 
 Apply rigorous quantitative methods to client and business problems
 
 <ul>
 <li>
 Build, test, and refine models and analytical assets using structured and unstructured data
 </li>
 <li>
 Translate data into clear findings, recommendations, and decision support
 </li>
 <li>
 Contribute to internal AI and analytics capabilities that can scale across teams
 </li>
 </ul>
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 Quantitative Analysis &amp; Modeling
 
 
 <ul>
 <li>
 Perform rigorous statistical analysis, exploratory data analysis, feature engineering, and model development across a range of client-facing and internal use cases
 </li>
 <li>
 Build and refine predictive, classification, segmentation, NLP, and other analytical models using structured and unstructured datasets
 </li>
 <li>
 Evaluate model performance, document assumptions, and support model validation and testing
 </li>
 <li>
 Use Python, SQL, and related tools to extract, clean, transform, and analyze data efficiently and accurately
 </li>
 <li>
 Develop repeatable analytical approaches and reusable code that improve quality, speed, and consistency
 </li>
 </ul>
 
 
 Client Delivery Support
 
 
 <ul>
 <li>
 Support senior team members in delivering analytical workstreams tied to client mandates, strategic analyses, and business development initiatives
 </li>
 <li>
 Help frame business questions into analytical hypotheses, required data inputs, and model approaches
 </li>
 <li>
 Prepare analyses, visualizations, and outputs that can be translated into clear client-ready materials
 </li>
 <li>
 Work with bankers and internal stakeholders to refine requirements, validate findings, and improve usability of outputs
 </li>
 <li>
 Contribute to high-priority, time-sensitive analyses in support of live deal, strategic, and sector work
 </li>
 </ul>
 
 
 AI &amp; Internal Platform Contribution
 
 
 <ul>
 <li>
 Contribute to the development of internal AI and analytics assets, including reusable workflows, data pipelines, prompts, evaluation approaches, and model-enabled tools
 </li>
 <li>
 Support the testing and refinement of AI-enabled workflows tied to knowledge retrieval, summarization, classification, and productivity enhancement
 </li>
 <li>
 Help identify opportunities to reuse client-facing analytical patterns within the firm&rsquo;s internal AI build
 </li>
 <li>
 Partner with engineering and business teams to move analytical solutions from prototype to practical usage
 </li>
 </ul>
 
 
 Measurement, Governance, and Controls
 
 
 <ul>
 <li>
 Document methodologies, data sources, model logic, and outputs in a clear and auditable manner
 </li>
 <li>
 Support adherence to internal standards related to model governance, data quality, explainability, and information security
 </li>
 <li>
 Assist in defining success metrics for analytical solutions, including accuracy, time saved, quality lift, and business impact
 </li>
 <li>
 Help maintain disciplined testing, issue tracking, and version control across analytical work
 </li>
 </ul>
 
 
 
 
 
 Ways of Working
 
 
 <ul>
 <li>
 Operate with strong attention to detail, sound judgment, and a high bar for analytical quality
 </li>
 <li>
 Collaborate effectively across data science, business analysis, technology, and business stakeholders
 </li>
 <li>
 Learn quickly, absorb context fast, and contribute across multiple workstreams at once
 </li>
 <li>
 Stay current on emerging techniques in machine learning, analytics, and AI relevant to financial services
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree required, preferably in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, or a related quantitative field
 </li>
 <li>
 Master&rsquo;s degree is a plus, but not required
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 2 years of experience in data science, analytics, quantitative consulting, financial services,
 </li>
 <li>
 experience in investment banking, financial services, consulting, or a similarly demanding environment is preferred
 </li>
 <li>
 Experience supporting client-facing analytical work is a plus
 </li>
 </ul>
 
 
 Core Skills
 
 
 <ul>
 <li>
 Strong quantitative, statistical, and problem-solving capabilities
 </li>
 <li>
 Ability to structure ambiguous questions into analytical workplans
 </li>
 <li>
 Strong written and verbal communication skills, including the ability to explain technical findings to non-technical audiences
 </li>
 <li>
 High attention to detail and ability to deliver under tight timelines
 </li>
 </ul>
 
 
 AI, Data, and Technical Skills
 
 required
 
 <ul>
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 Experience with Python and SQL
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 Strong statistical analysis skills
 </li>
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 Familiarity with common data science libraries and workflows for analysis, modeling, and visualization
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 Exposure to machine learning (ML) techniques such as regression, classification, clustering, time series, optimization, or NLP
 </li>
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 Familiarity with working across structured and unstructured datasets
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 comfortable operating in a fast-paced, high-expectation environment
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 Interested in applying quantitative methods to real commercial and client outcomes
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 </ul>
 
 
 
 
 Preffered skills:
 
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 Exposure to LLMs, prompt design, retrieval workflows, or AI tooling is a plus
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 Familiarity with Power BI, Tableau, or similar visualization tools is a plus
 </li>
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 Familiarity with Git, notebook-based development, and sound coding/documentation practices is preferred
 </li>
 </ul>
 
 
 
 
 PS
 
 
 must currently reside in the NY metro area
 
 
 must have a valid Work Permit for the Permanent employement
 
 
 
</div>

Data Science (Python) Quant Analyst

REVIVE SOFTWARE SYSTEMS INC

Role OverviewAs a Data Analyst, you will bridge the gap between complex numbers and strategic product execution. You will work closely with Product Managers, Engineers, and Marketing teams to track how users interact with our platform, optimize product features, measure KPI performance, and identify new opportunities for user retention and growth. The ideal candidate loves diving into large datasets, building automated dashboards, and telling a compelling story with data.Key Responsibilities<ul><li>Product Insights &amp; Tracking: Define, implement, and analyze core product metrics (e.g., Daily/Monthly Active Users, Feature Adoption Rates, Churn, User Lifetime Value, and Funnel Conversion rates).</li><li>Data Visualization &amp; Reporting: Design, build, and maintain automated, interactive business intelligence dashboards (using Tableau, Power BI, or Looker) to provide real-time visibility into product performance for stakeholders.</li><li>A/B Testing &amp; Optimization: Formulate hypotheses, design, and analyze A/B experiments to evaluate the impact of new features, UI/UX overhauls, and user onboarding flows.</li><li>User Behavior Analytics: Deep dive into product usage data to uncover trends, identify bottlenecks in user journeys, and discover what drives long-term customer retention.</li><li>Cross-functional Collaboration: Partner with Product Engineering to ensure proper telemetry and event-tracking (e.g., using Mixpanel, Amplitude, or Segment) are accurately integrated.</li><li>Data Quality Assurance: Partner with Data Engineers to maintain data integrity, establish clear documentation/data dictionaries, and ensure data pipelines are processing cleanly.</li></ul>Required Skills &amp; Qualifications<ul><li>Experience: 2&ndash;4+ years of experience as a Data Analyst, Product Analyst, or Business Intelligence Analyst, ideally working on a digital product/SaaS platform.</li><li>SQL Proficiency: Advanced SQL skills are a must (ability to write complex joins, window functions, and optimize queries across large datasets).</li><li>BI &amp; Data Visualization: Strong experience creating production-grade dashboards in modern BI tools (Power BI, Tableau, Looker, or Sigma).</li><li>Product Analytics Tools: Direct hands-on experience with product tracking instrumentation tools such as Amplitude, Mixpanel, Google Analytics 4 (GA4), Heap, or Segment.</li><li>Programming Languages: Proficiency with Python or R for data manipulation, statistical analysis, and scripting is highly preferred.</li><li>Statistical Foundatons: Solid understanding of statistics, particularly surrounding hypothesis testing, sample sizing, and regression models for A/B testing.</li><li>Communication: Ability to translate complex analytical findings into clear, non-technical recommendations for product managers and executive leadership.</li></ul>Pay: From $60.00 per hourWork Location: Remote

Data Analyst (Product Analytics)

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