54 Analytics Manager jobs in Coimbatore

Designation: Analytics Manager

About the Role:

We are seeking an Analytics Manager to lead the integration of digital and real-world data for a large-scale political campaign in Punjab. The role will involve designing frameworks to collect, analyze, and structure data so it can be effectively used for campaign targeting, paid media, push emails, and voter outreach. The ideal candidate will have a strong grasp of Punjab’s demographic and political landscape, expertise in social and digital analytics, and the ability to translate raw data into actionable campaign strategies.

Years of Experience Required: 5–7 years in analytics, digital research, or campaign data strategy

Type: Work from Office (Mohali/Chandigarh)

Language & Cultural Requirement:

• Ability to read and interpret Punjabi (essential for accurate data analysis and insights)
• Strong understanding of Punjab’s socio-political and demographic realities
• Proficiency in Hindi and English for cross-team collaboration and reporting

Key Responsibilities

Data Integration & Strategy

• Develop frameworks to marry digital listening data with ground-level research and demographic information.
• Create scalable systems for structuring voter and campaign data to enable downstream use in paid media, push emails, and targeted outreach.
• Establish clear taxonomies, categories, and processes to ensure data is accessible, retrievable, and actionable.

Social & Political Analysis

• Lead analysis of online sentiment, conversations, and trends, contextualizing them with voter behavior, caste/community demographics, and local issues.
• Build models to identify voter micro-segments and recommend targeted strategies.
• Surface insights that help the campaign refine messages and optimize channel mix.

Insight Generation & Application

• Translate large volumes of raw digital and field data into actionable insights for media planning, messaging, and outreach teams.
• Provide recommendations on where and how to deploy paid media spends for maximum resonance and efficiency.
• Support creation of dynamic audience segments for personalized campaign interventions.

Reporting & Visualization

• Develop advanced dashboards, trackers, and periodic reports for campaign leadership.
• Present insights clearly, highlighting not just what is happening but why it matters and how to respond.
• Ensure data-driven recommendations are tied to real-world campaign objectives and voter engagement outcomes.

Operations & Quality Control

• Set standards for data collection, classification, and integration across teams (social listening, field research, CRM, outreach).
• Ensure accuracy, consistency, and timeliness of reporting.
• Recommend process improvements, tool adoption, and automation opportunities for data management.

Core Competencies

• Analytical Expertise: Strong skills in quantitative and qualitative data analysis; experience with tools such as SQL, Power BI, Tableau, or equivalent.
• Social Listening & Digital Knowledge: Proficiency with tools like Sprinklr, Talkwalker, Brandwatch, or equivalent; ability to interpret online data.
• Demographic Understanding: Deep knowledge of Punjab’s socio-political demographics, voter behavior, and local issues.
• Strategic Thinking: Ability to design systems that connect insights to actionable campaign strategies.
• Communication: Strong skills in presenting complex data in simple, clear narratives for decision-makers.
• Organizational Rigour: Ability to set up processes, ensure data hygiene, and manage cross-functional integration.
• Agility: Comfortable working in a fast-paced, high-stakes political environment with evolving priorities.

This is a 12-month contractual position based in Mohali/Chandigarh, with the possibility of renewal based on performance and project requirements.

Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies.

We’re hiring an Analytics Manager to join our fast-growing team. This player-coach role blends team leadership , client management , and hands-on analytics. You’ll apply advanced analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments across Australia and globally.

In this role, you will lead and mentor a team of consultants, partner closely with our Client Solutions team and pharma stakeholders to clarify problems , design solutions, deliver analytical work , and present actionable insights . We’re looking for someone adept, flexible, and hungry - a manager who thrives on tackling complex pharma challenges end-to-end and driving measurable results

About Us

Prospection is a pioneer in healthcare analytics, applying machine learning , predictive modelling , and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide .

What Makes This Role Exciting?

• Be an early member of the India Analytics Centre of Excellence Team (COE) and play a key role in shaping its vision, standards, and ways of working.
• Gain hands-on exposure to diverse regions and healthcare systems—ANZ, Japan, and the US—enhancing both your technical expertise and domain knowledge
• Apply your analytical expertise to solve real-world problems while contributing to in-field R&D, helping define and shape the future of Prospection’s products .
• Take end-to-end ownership by combining people management responsibilities with a hands-on analytics role , driving meaningful results and team success

What You’ll Do

• Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.
• Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
• Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.
• Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
• Partner with Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
• Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
• Lead and mentor a team of consultants , setting strategic direction while actively contributing to delivery. Foster collaboration, drive high-quality outcomes, and build a culture of analytical excellence and continuous learning

Essential Criteria

• 5+ years’ experience working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution.
• Strong solutioning mindset : able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path.
• Proven client communication skills: confident running pharma stakeholder meetings, handling back-and-forth to refine scope, and presenting insights.
• Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices.
• Technical excellence: advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA/Macros, Power Query). Able to take a brief and query/shape data end-to-end independently.
• Healthcare analytics background with real-world/claims/EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas.
• Familiarity with PBS data is preferred, or a demonstrated ability to quickly get up to speed
• Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience.
• Mindset : hungry, curious, and proactive - eager to learn and continuously raise the bar for the team.

Why Join Prospection?

• Impact : Work on projects that improve healthcare delivery and patient outcomes globally.
• Growth : Be part of a rapidly scaling company with career advancement opportunities.
• Culture : Join a collaborative, mission-driven team passionate about healthcare and data.
• Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.

If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.

Sr. Manager / Manager Collection Analytics

About bluCognition: bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery centre based in Pune. We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world.

Our clients are some of the biggest and the most progressive names in the financial services industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who wants us to join in this exciting journey.

What will your day look like?

• Identify and deliver analysis to influence operational and product strategy for loan repayment in compliance with regulatory requirements.

• Leverage internal and external data, to build collection strategies ensure high rate of collection.

• Managing team within the collections department to ensure a sufficient number of staff members are available to handle the workload.

• We are looking for a People leader - who doesn't hesitate to roll up his sleeve and code.

• Monitor repayment metrics, such as collections and recoveries performance and delinquency rates, auto pay, etc, and actively influence vendor strategies to maximize repayment at optimal cost.

• Manage performance and efficiency across the customer lifecycle focused on repayment.

• Build cross-functional relationships and partner with Product and Risk teams to drive operational strategies across collections and recoveries space.

• Identify third parties, data solutions, and other innovative ways to evolve the repayment experience.

• Utilize both industry and internal trends to proactively assess and recommend both short term and long-term repayment and collections strategies.

To help us level up, you will ideally have:

• Quantitative background in engineering, statistics, math, economics, business, or related disciplines.

• 5+ years’ experience in analysing data and using database query language (e.g. SQL) analysis and programming and developer tools such as Python, R, databricks analytics.

• Possesses analytical mindset and strong problem-solving skills. Attention to detail and ability to multitask.

• Comfortable working in a fast-paced environment and dealing with ambiguity.

• Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams.

• Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

Sr. Manager / Manager Collection Analytics

About bluCognition: bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery centre based in Pune. We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world.

Our clients are some of the biggest and the most progressive names in the financial services industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who wants us to join in this exciting journey.

What will your day look like?

• Identify and deliver analysis to influence operational and product strategy for loan repayment in compliance with regulatory requirements.

• Leverage internal and external data, to build collection strategies ensure high rate of collection.

• Managing team within the collections department to ensure a sufficient number of staff members are available to handle the workload.

• We are looking for a People leader - who doesn't hesitate to roll up his sleeve and code.

• Monitor repayment metrics, such as collections and recoveries performance and delinquency rates, auto pay, etc, and actively influence vendor strategies to maximize repayment at optimal cost.

• Manage performance and efficiency across the customer lifecycle focused on repayment.

• Build cross-functional relationships and partner with Product and Risk teams to drive operational strategies across collections and recoveries space.

• Identify third parties, data solutions, and other innovative ways to evolve the repayment experience.

• Utilize both industry and internal trends to proactively assess and recommend both short term and long-term repayment and collections strategies.

To help us level up, you will ideally have:

• Quantitative background in engineering, statistics, math, economics, business, or related disciplines.

• 5+ years’ experience in analysing data and using database query language (e.g. SQL) analysis and programming and developer tools such as Python, R, databricks analytics.

• Possesses analytical mindset and strong problem-solving skills. Attention to detail and ability to multitask.

• Comfortable working in a fast-paced environment and dealing with ambiguity.

• Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams.

• Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

About The Company :

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Condé Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming.

The company is undertaking the biggest transformation in its history, driving towards expanding both its operations and its reach through diversifying the digital business models for our brands. Major areas of focus include video and streaming platforms, increasing subscriptions and memberships, growing our events business and ensuring we maintain a high level of standard on the products we are already proud of delivering to our customers. Migrating to and consolidating across centralised technologies and capabilities that can be easily leveraged by any brand or product experience is a business priority. Leadership of the cross-functional Data Governance & Technical Analytics team is an integral part of our overall business strategy, helping us to generate value through the use of our first party data in line with regulatory compliance.

About The Role :

The Technical Analytics & Measurement Manager will lead the implementation of privacy-compliant analytics tracking capabilities, standardising data collection and improving the quality of data. The key function of the role is to support the Global Architecture & Governance team in organisation-wide implementation of analytics and measurement strategies, encompassing privacy compliant analytics, technology and product support, consumer revenue initiatives, data capture configuration and audience engagement measurement. The role will require working with internal and cross-functional teams in EU, US and APAC, liaising with stakeholders to gather requirements, recommend analytics solutions and translate complex analytics into standard business language.

Responsibilities:

• Develop Technical Analytics & Measurement strategies, incorporating futureproof tracking and data capture, as well as privacy approaches
• Manage and implement performance and marketing analytics, including third-party tracking pixels, with or without a tag management system.
• Lead investigation and identification of gaps in analytics implementation, ensuring compliance with privacy laws and best practices.
• Own compliance-related concerns in data collection, collaborating with legal and privacy teams.
• Manage workflows for translating stakeholder KPIs and tracking requirements into relevant event schemas and properties.
• Lead review and validation of accuracy and performance of technical analytics implementations.
• Support measurement and privacy teams in adapting to evolving regulations and industry standards.
• Develop and maintain technical tagging instructions, implementation documentation, and standards based on changing business needs.
• Partner with analytics, data engineering, product, and marketing teams to identify business needs and translate them into optimized tracking solutions.
• Collaborate with analytics teams to implement best-in-class measurement solutions that align with privacy changes.
• Ensure data governance across the analytics stack, maintaining integrity, lineage, and data quality.
• Provide support and guidance to analytics users on extracting and utilizing data from analytics tools and data warehouses.
• Lead automation projects to improve efficiency and reduce manual efforts using APIs.
• Act as a subject matter expert for the team, providing solutions to complex tracking requirements.

Skills and Experience:

• 8+ years of experience working in technical analytics and measurement roles, especially advantageous if in media or advertising environment(s).
• Strong experience in managing and developing teams of analysts and/or specialists in measurement and implementation for efficient deliveries.
• Strong experience in implementing analytics tags using Google Tag Manager or similar tools (e.g., Adobe Launch, Tealium IQ).
• Proficient in managing configuration and profile settings within Google Analytics 4.
• Hands-on experience with server-side tracking technologies e.g. server-side Google Tag Manager , Hightouch.
• Experience with first-party data capture solutions such as Snowplow , Segment or Rudderstack highly preferred.
• Knowledge of tracking pixels and consent management platforms such as OneTrust, SourcePoint or Ethyca, with strong awareness of data privacy.
• Basic understanding of JavaScript/HTML with ability to update scripts for tracking changes and privacy compliance.
• Experience in analytics data exports and integration with cloud platforms such as Google Cloud Platform (GCP), BigQuery and AWS.
• Passionate about learning new measurement technologies and implementing them in production environments.
• Hands-on experience with Databricks and querying.
• Strong analytical, problem-solving and communication skills.
• Experience using SQL is desirable.
• Experience with automation using APIs and Python desirable.

TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.

For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’.

Job Responsibilities

As Manager-Delivery, you will be responsible for a wide range of engagements listed below:

• Collaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project.
• Develop a comprehensive project plan that aligns with the scope and objectives of the project.
• Develop appropriate solution design that will help client achieve their goals.
• Assign delivery team members to different activities suited to their individual skills.
• Lead the execution of project activities according to the project plan. Monitor the project, track milestones, and adhere to agreed-upon timelines and scope.
• Accountable for the delivery quality of the project in question.
• Comply with all the critical dimensions of the delivery scorecard, report as-is facts on those dimensions, and develop and execute action plans to improve delivery scores.
• Lead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients.
• Ensure compliance with best practices and established processes for quality assurance—for example, using quality assurance checklists, coding best practices, peer reviews, and documentation.
• Provide both business and technical guidance to the delivery team.
• Coach individuals in the team and build a high-performance workplace.
• Establish an environment of mutual trust and respect and encourage the team to experiment with new delivery ideas.
• Review the team's deliverables before sharing them with clients, including codes, presentations, worksheets, emails, etc.

Required Skills (Must have)

Tech:

• Advanced knowledge of probability and statistics
• Advanced knowledge of Practical Machine Learning and awareness of the key pitfalls in machine learning and approaches to addressing them
• Intermediate knowledge levels in SQL and Python
• Intermediate knowledge of project management methodologies and tools
• Intermediate knowledge of MS Office applications: MS Excel, MS PowerPoint, and MS Word.

Non Tech:

• Strong business acumen with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients.
• Ability to storyboard presentations effectively and hold conversations with mid-management-level clients.
• Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact.
• Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation.
• Provide leadership and mentorship to the delivery team.
• Self-driven with a strong sense of ownership.

WHO WE ARE: Saks Global is the largest multi-brand luxury retailer in the world, comprising Saks Fifth Avenue, Neiman Marcus, Bergdorf Goodman, Saks OFF 5TH, Last Call and Horchow. Its retail portfolio includes 70 full-line luxury locations, additional off-price locations and five distinct e-commerce experiences. With talented colleagues focused on delivering on our strategic vision, The Art of You, Saks Global is redefining luxury shopping by offering each customer a personalized experience that is unmistakably their own. By leveraging the most comprehensive luxury customer data platform in North America, cutting-edge technology, and strong partnerships with the world's most esteemed brands, Saks Global is shaping the future of luxury retail. Saks Global Properties & Investments includes Saks Fifth Avenue and Neiman Marcus flagship properties and represents nearly 13 million square feet of prime U.S. real estate holdings and investments in luxury markets.

ABOUT THE ROLE: You will guide and inspire a team of data scientists to deliver high-impact solutions for all the Saks global banners. Whether it’s reviewing end-to-end projects, mentoring team members, or driving innovation in DS practices, your work helps us align data science with business goals and scale solutions that make a measurable impact.

RESPONSIBILITIES:

• Guide and review project pipelines, ensuring quality and timely delivery.
• Manage and mentor DS/SDS, providing career guidance and fostering innovation.
• Take responsibility for the team’s deliverables and own functional outcomes.
• Coordinate with cross-GCC verticals, stakeholders, and business partners to socialize and align solutions.
• Define goals, and promote out-of-the-box experimentation aligned with business impact.
• Drive synergy among direct reports and ensure team cohesion.

QUALIFICATIONS:

• 10 - 12 years of experience in implementing DS models with emphasis on.

REQUIRED SKILLS:

• Strong DS technical foundation with the ability to enforce and promote best practices.
• Proven experience in people management - coaching, performance reviews, and growth planning.
• Familiarity with advanced ML/DL methods and ability to evaluate when/where to apply them.
• Experience in scaling models from POC to production and ensuring robustness of deployed systems.
• Ability to review code, pipelines, and architecture for quality, efficiency, and maintainability.
• Strong grounding in ML lifecycle management (data prep, feature engineering, experimentation, deployment, monitoring).
• Strategic thinking to align technical choices with business impact and maximize ROI.
• Experience working cross-functionally with engineering, product, and business teams to ensure adoption and scalability.

PAY RANGE AND COMPENSATION PACKAGE:

• Comprehensive benefits package for all eligible full-time employees (including medical, vision and dental).

EQUAL OPPORTUNITY STATEMENT: Saks Global is committed to diversity and inclusivity.

YOUR LIFE AND CAREER AT SAKS GLOBAL:

• Opportunity to work in a dynamic fast paced environment at a company experiencing growth and transformation.
• Exposure to rewarding career advancement opportunities across the largest multi-brand luxury retailer from retail to distribution, to digital or corporate.

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500.

Department Overview

Advanced Analytics and Automation Portfolio builds automation, analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth opportunities. The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities.

Job Overview

The Data Science Manager will be responsible for leading a team focused on AI and Machine learning solutions. The Manager applies Software Engineering, and DevOps practices to guide the team in building large-scale enterprise Analytics and Machine Learning solutions leveraging Google Cloud technologies.

The Manager brings in a product mindset and leverages AGILE practices to craft and drive iterations to support building new capabilities, addressing gaps and drive automations for Data Platforms and solutions.

Additionally, the Manager brings in a Service Provider mindset, demonstrate exceptional interpersonal skills, strong leadership, relationship management to build a strong and cohesive team that focuses on building new capabilities and operations. The Manager will work closely with business product owners, business leadership, and individual business users to ensure augIntel capabilities are consistently delivered.

Responsibilities

• Identify high-value ML business opportunities and work with Business and IT stakeholders to realize business benefit.
• Focus on driving outcomes for the business by defining success and by setting the right goals, metrics and processes to objectively quantify, measure and track impact.
• Manages department operations and supervises professional employees, vendor resources and/or business support staff
• Responsible for recruiting, staffing, coaching, and developing talent within the team.
• Responsible for setting a practice that helps deliver industrialized Data transformation capabilities and operations to support Analytics and AI/ML solutions
• Responsible for managing enterprise scale Data platform operations (Data, Analytics and MLOps)
• Planning, demand management, budgetary management, and operational metrics for Data Platforms.
• Manages expectations with key stakeholders, builds and fosters relationships
• Participates in the development of policies and procedures to achieve specific goals
• Ensures employees operate within guidelines
• Applies data aggregation, descriptive analysis and data presentation techniques and tools to communicate complex findings and recommendations to influence others to act.
• Demonstrates ability to communicate complex information clearly and concisely to a variety of audiences and mediums.
• Manages the financial aspects of the team, including onsite and offshore hourly rates, cloud costs, travel and training costs, timecards, SOWs, monthly MSA and staff augmentation approvals
• Applies lean and agile principles to their leadership, and guides their team through continuous improvement

Desired Qualifications

• Bachelor's degree preferred or equivalent work experience
• Experience managing teams of 10+ resources including full time, contract and/or vendor resources
• 14+ years of experience in Big Data systems, Data Lakes and Analytics related field managing Build & Run teams
• Prefer experience architecting, designing data lakes leveraging cloud services supporting Analytics and ML/AI Solutions
• Prefer experience in Data Movement Technologies and Cloud Data Warehouse technologies including but not limited to experience with GCP, Big Query, Google Cloud Storage.
• Prefer experience in managing BIA Technology Platforms and solutions
• Prefer experience managing teams and service delivery in an ODC (Offshore Delivery Center) setting for MNC (multi-national company)
• Ability to develop individuals along a professional career path
• Excellent oral and written communication skills
• Prefer experience with DevOps Agile practices

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.