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Marketing Data Scientist Role Summary IMEA Regional Marketing is looking for a talented and highly motivated individual to join our team in the role of Marketing Data Scientist. In this role, you will work with marketing and performance managers on translating complex data findings into useful insights that guide decision-making and future marketing investment. You will be responsible for providing useful insights, recommendations, and measurements of marketing campaigns that will drive innovation and efficiency gains for the business. The candidate will define and execute data-driven, analytical solutions to engage our customers and help solve commercial problems. This role is not about crunching numbers, its about finding compelling insights within data and using your exceptional business and communications skills to translate those insights into action. As one of the masterminds behind our data-driven campaign planning, forecasting and analysis, youll spend your time digging into big, complex data sets, customer touch points and journeys. The data will not remain inert in your hands, however, since you’ll use your critical thinking, problem solving and communication skills to influence and drive thoughtful and well-informed decision making with marketing and business leaders. You will work closely with the Campaign Leads and Marketing Managers to create insights that shape the campaign strategy of our product and solutions, optimize content, and assess the impact of various initiatives. You will also be responsible for surfacing key business insights and recommendations in campaign planning and reviews. Our team of entrepreneurial, enthusiastic, and customer-centric marketeers are helping global and customers in the Indian subcontinent, Middle East, and sub-Saharan Africa integrate their domestic and international supply chains to reach their end-customers. You will have the opportunity to partner with marketing, sales, revenue operations, and finance to develop strategies and analytics designed to enable informed decision making and lead efforts to identify gaps in our data to better drive engagement, client acquisition, retention, and revenue. Working in close collaboration with a diverse and dynamic team of colleagues around the world, you will be part of setting the direction for our regional marketing team and collaborating across the organization to measure impact performance on all marketing activations. REQUIRED COMPETENCIES AND SKILLS: Basic Qualifications: Bachelor’s degree is required with emphasis on analytical skills – e.g. E-commerce, Data Science, Statistics, Business, Computer Science, or equivalent practical experience 5 years of experience in a Marketing Operations, Demand Generation, Data Planner, or related role, ideally at a B2B technology company or agency. Demonstrated proficiency in analytical work in marketing/sales, or a business operations and analytics environment, including analyzing data with spreadsheet software (e.g. Excel Sheets) and database query (e.g. SQL) experience Champion of data and visualization with strong, effective presentation and story-telling skills. Demonstrated ability to conduct sophisticated and creative analysis to solve business problems and translate the results into actionable deliverables, clearly-written summaries/presentations, and region-wide communications. Power BI experience and/or related business intelligence tools is highly preferred. Experience with marketing analytics platforms like Google Analytics is a plus CRM: Salesforce Sales Cloud experience with explicit knowledge of leads flow process, data hygiene and reporting dashboards Strong skills in data analysis, statistics, programming (e.g. SQL, R or Python) Strong stakeholder management skills and ability to manage interfaces at all levels in the organisation Strong verbal and written communications skills and ability to articulate complex insights to cross-functional audiences. Digitally savvy. Preferred Qualifications: Experience with marketing analysis and data-backed customer segmentation is a plus. Understanding of digital marketing, digital logistics platforms, and solutions. Business acumen and communication skills; proficiency in translating data into actionable insights and digestible formats for the business. Highly organized with multi-tasking skills; efficient in ambiguous situations. Demonstrated ability to work across organizational boundaries. Knowledge about digital campaign landscape, cloud computing market and technologies Your personality Strong results orientation with a proven track record of flawless execution and strong attention to detail Demonstrated flexibility, creativity and problem-solving skills Comfortable working in a demanding, fast-paced changing environment that is going through high growth Self-motivated, enthusiastic, and organized. Independent contributor and self-starter who takes ownership of assignments and sees them to completion A collaborator who can work across diverse teams and build rapport to gain the trust and confidence from local and international stakeholders. Hands-on, can-do attitude, and willing to propose and try new things Complete integrity with sensitive and confidential information Curious by nature, motivated by learning and by taking on challenges Approachable and social – we’re a colorful and diverse team with big ambitions, high energy who also has plenty of fun along the way Great organizational skills and attention to detail; able to execute and prioritize multiple tasks simultaneously. Team player, but ability to work independently and be a self-starter. Responsibilities: This is a hands-on position; the ideal candidate must be willing to roll-up their sleeves and work directly with large datasets, conduct data analysis, build self-service reporting tools and dashboards in an environment of rapid growth and increasing complexity, and communicate complex business insights in a clear and precise manner. The candidate must be a self-starter with a bias towards independent problem solving, a passion for identifying and eliminating bottlenecks, and has the foresight to anticipate business needs, make tradeoffs, and balance business dynamics despite constraints. The ideal candidate must also earn trust through performance and relationship building, think analytically about business challenges, and have experience in marketing campaign management. Support the full spectrum of regional marketing data analytics activities Monitor and forecast marketing and sales trends as well as analyze customer and prospect data and downstream funnel performance using Salesforce, Power BI, and other tools Deep dive into data to investigate trends, topical issues, uncover insights, and explore new opportunities for our business growth. Analyse small to large and complex data sets using a variety of tools such as Google Analytics, Salesforce Einstein Analytics, SQL , R and BI tools Use CRM tool to track performance and analyze data against monthly goals Integrate emerging technologies (AI-powered tools..etc ) with marketing platforms to: Build and deploy predictive models to forecast customer behaviour, sales trends, and marketing campaign outcomes. Develop custom scripts or tools to automate routine marketing analysis tasks Cross-channel attribution and multi-touchpoint analysis – develop multi-touchpoint attribution models to understand the impact of various marketing channels on conversion. Works closely with marketing teams to develop dashboards, extract and analyze data, find opportunities, and develop solid recommendations to increase and optimize campaign performance Examine campaign return on investment and conduct demand waterfall analysis to improve profitability of campaigns and performance throughout the sales funnel Utilise data-driven insights to enable leadership to optimize budget and resource allocation Understand how data, and content should be used to optimize conversion rates for a digital experience Identify gaps and pioneer new ways to optimize campaign planning and execution and improve data integrity. Help develop and deliver analytics or measurement frameworks that foster a Test & Learn culture Assist in the development of a structure for managing data analysis requests that can be scaled and improved upon ongoing; e.g. automating ongoing BAU reporting Prepare reports and present results to internal collaborators and management Contribute to the Regional Head of Marketing reporting cadence to ensure weekly, monthly, and quarterly reports are completed to meet timelines with data accuracy Facilitate adoption of the reporting standards by consistently applying them in daily work and educating end users on applicable usage/interpretation of different methodologies Partner with internal regional and global stakeholders from cross-functional and products teams, data engineers to capture business requirements, shape data, and set up processes to design and build reporting solutions.

Why this role exists We need a handson analytics leader to design, automate and evangelise holistic marketingmeasurement frameworks that: Quantify the true incremental impact of every media dollar (Meta, Google, YouTube, CTV, affiliates, influencers, retention promos). Turn raw tradingplatform data and martech signals into crisp, actionable insights for the Csuite, Trading Ops, Product and Investor Relations. Enable smarter budget allocation, faster testandlearn cycles and bulletproof business cases for new channels or tactics. Key Responsibilities Measurement Strategy Architect and codify Hola Primes omnichannel performancemeasurement playbook (MMM, attribution, lift tests, testvscontrol, brand & search lift, funnel analytics). Define the canonical KPI hierarchy impressions clicks fundedaccount conversions profitshare payouts and the guardrails for each stage. Solution Development Prototype and productionize analytics solutions (SQL/Python/R) that stitch adplatform signals with firstparty trading data. Build interactive dashboards in Tableau, Power BI, Looker/Looker Studio that surface ROI, LTV/CAC, retention cohorts, payout velocity and incremental revenue. Leverage marketing APIs (Google Ads API, Meta Marketing API, YouTube Data & Analytics APIs, Google Analytics Data API, etc.) to automate data extraction, campaign optimisation and realtime performance feedback loops. Insight & Storytelling Translate complex stats into boardready narratives and campaign postmortems. Partner with Performance Marketing, Product, Retention and Finance to recommend spend shifts, creative optimizations and new growth loops. CrossFunctional Leadership Work daytoday with Product, Data Engineering and MarTech to activate clean data feeds. Upskill marketers on experimentation bestpractices, new BI tools and advanced measurement methods. Process & Automation Identify manual painpoints and drive tooling/BI & APIintegration enhancements to cut reporting lag. Champion agile ritualsuser stories, sprint reviews, OKRsto keep analytics roadmaps on track. Tech Stack Youll Use Databases / Warehouses: Snowflake, BigQuery, Postgres Languages: SQL, Python, R Visualisation & BI: Tableau, Power BI, Looker / Looker Studio (Data Studio) Marketing & External APIs: Google Ads API, Meta Marketing API, YouTube Data API, Google Analytics Data API, TikTok Marketing API, LinkedIn Ads API Experimentation & Marketing Tools: Google CM360, Meta Experiments, Firebase/GA4, Optimizely Collaboration & Agile: JIRA, Asana, Git, Slack Preferred candidate profile 46 years in digitalmarketing analytics, mediameasurement consulting or retail/fintech BI. Proven mastery of incrementality & lift studies, MMM/econometrics, attribution modelling, A/B & multivariate testing. Handson SQL + Python (or R) for data wrangling, statistical modelling and rapid POC builds. Demonstrated expertise building and maintaining dashboards in Tableau and/or Power BI (Looker a plus). Experience integrating and automating marketing data via Google Ads, Meta, YouTube and other advertising APIs. Comfortable joining adplatform, web, app and backend trading data; experience with Snowflake/BigQuery preferred. Track record influencing nonanalytics stakeholdersable to sell the story, not just the stats. Experience in fintech, trading, brokerage or highly regulated performancemarketing environments is preferred. Thrive in highvelocity, agile teams; you plan with OKRs and ship in sprints. Whats in it for you Direct line of sight to Clevel decisions and multimilliondollar media budgets. An open canvas to build the analytics stack you’ve always wanted—no red tape. Global exposure: shape growth levers across 175+ markets and multiple asset classes. Competitive compensation, performance bonus, and the chance to work alongside a passionate, data-obsessed marketing squad.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing Analytics About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 5+ years of advanced experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with non linear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy , Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Azure/ Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working knowledge of MMM optimizer and its intricacies Awareness of MMM application development and backend engine integration will be preferred Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her Manage client relationships and expectations, and communicate insights and recommendations effectively Capability building and thought leadership Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Qualification Who we are looking for 5+ years of work experience in consulting/analytics with reputed organization is desirable. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL and Python language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment

Job Description Proficiency in Python scripting for data analysis and model development. Analyze marketing data to identify trends and areas for improvement. Conduct MMM analysis to evaluate the effectiveness of various marketing channels and strategies. Create and manage marketing performance reports to optimize marketing campaigns and strategies. Collaborate with cross-functional teams to gather and analyze data requirements. Ensure data accuracy and integrity in all reports and dashboards. Provide actionable insights and recommendations based on data analysis. Develop predictive models to forecast marketing performance and optimize budget allocation. Stay up-to-date with industry trends and best practices in marketing analytics and retail. Qualifications Required Skills and Qualifications: Proficiency in Python scripting, SQL, and PowerBI for data analysis and visualization. Strong knowledge of statistical modeling techniques and their applications in marketing mix modelling, including: Linear regression,Time series analysis, Multivariate techniques, Conjoint analysis, Experimentation Experience with MMM evaluation techniques, such as: Baseline vs. Incremental Sales Segmentation: Separating natural sales from those driven by marketing efforts. Sales Trend Analysis: Tracking patterns and trends over time. External Factors Consideration: Including variables like economic conditions, competitor actions, and seasonal factors.3-5 years of experience in marketing analytics, MMM, and data-driven decision-making. Excellent analytical and problem-solving skills.Strong communication skills to present data insights to stakeholders. Ability to work independently and as part of a team.Knowledge of retail industry practices and trends.

Role & responsibilities As Senior Data Scientist, you will be responsible for a wide range of engagements listed below: Formulates complex problems into hypotheses and proofs of concept for testing. Socializes this with the rest of the team and guides them to deliver on it. Applies business acumen in analyses to extract meaningful and actionable information. Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience. Leverages various analytical techniques, appropriate to solving the business problem at hand. Performs research for solutions and solves problems efficiently to overcome data analytics challenges. Engages in the collection, integration, analysis, and presentation of data for various business contexts Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them. Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like. Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering. Shares this knowledge with the rest of the data science team. Does peer reviews of codes and approaches of fellow members of the data science team. Provides mentorship to junior data scientists in the team. Looks for improvements in data science delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption. 4 to 6 years experience is mandatory Preferred candidate profile Advanced knowledge in one or more areas besides Machine Learning Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale. Reinforcement Learning, Graph Machine Learning, Explainable Machine learning. Advanced understanding of Cloud technologies and experience of deploying applications on cloud.

Role Overview: We are looking for an experienced Data Scientist specializing in Market Mix Modeling (MMM) to join our team. The candidate will be responsible for developing predictive models to measure marketing effectiveness, optimize budget allocation, and derive actionable insights from large datasets. This role requires expertise in statistical modeling, machine learning, and data visualization to support data-driven decision-making for our premium FMCG Client. Roles & Responsibilities: 1.Develop and implement Market Mix Models (MMM) to evaluate the impact of marketing activities on sales and brand performance. 2.Analyze large-scale marketing, sales, and consumer data from multiple sources to uncover trends and insights. 3.Apply statistical techniques (e.g., regression modeling, time-series analysis, Bayesian modeling) to measure ROI across marketing channels. 4.Work with cross-functional teams to optimize media spend and marketing investments. 5.Use Python, R, SQL, and SAS for data extraction, cleaning, and modeling. 6.Build automated reporting dashboards using Power BI, Tableau, or Excel to visualize model outputs. 7.Conduct scenario analysis and simulations to forecast business outcomes. 8.Communicate technical findings to non-technical stakeholders, ensuring data-driven decision-making. 9.Continuously improve models by incorporating machine learning algorithms and external factors (macroeconomic, seasonal, competitive). 10.Collaborate with business teams to translate insights into actionable marketing strategies. Desired Candidate Skills: Bachelors/Masters degree in Statistics, Data Science, Economics, Mathematics, or a related field. 4-7 years of hands-on experience in Market Mix Modeling (MMM), econometrics, or marketing analytics. Strong expertise in statistical analysis, regression modeling, and causal inference techniques. Proficiency in Python, R, SQL, SAS, and experience with ML libraries (Scikit-learn, TensorFlow, XGBoost). Hands-on experience with BI tools (Power BI, Tableau, Looker) for data visualization. Prior experience in FMCG, Retail, or Consumer Goods industry is highly preferred. Strong business acumen and ability to translate data into actionable insights. Excellent stakeholder management and communication skills. Join us in leveraging data-driven strategies to optimize marketing effectiveness and drive business growth.

Senior Instrumentation Engineer - KOL00HR Company Worley Primary Location IND-WB-Kolkata Job Instrumentation and Controls Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Apr 30, 2025 Unposting Date May 30, 2025 Reporting Manager Title Principal Engineer We deliver the worlds most complex projects. Work as part of a collaborative and inclusive team. Enjoy a varied & challenging role. Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, were bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Senior Instrumentation Engineer with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. Should understanding of Instrumentation & Controls scope of work, project documentation, standards & guidelines before commencement of work. Exposure in instrumentation MMM projects, from basic engineering to detailed engineering and capable to support project execution, commissioning and handover. Experience to handle MMM proposal study and capable to prepare the query list, scope write-up and provide estimate by reviewing the RFP. Experience to deliver basic and detailed engineering deliverable for all instrumentation systems, including instrumentation specification, design documents and review design drawings. Preparation of Engineering Design Basis for Instruments and PCS, Review of P&ID, Instrument Index, I/O List, Cable/JB Block Diagram and other deliverables for Basic & Detailed engineering. Preparation of Data Sheet & specification for Field Instruments and Control systems, Network Architecture, Cause & Effect diagrams, Logic diagrams. Prepare Material Requisitions (MR), TBE and Purchase Requisition (PR). Conceptualize/prepare/review wiring diagrams, loop diagrams, control room layout, installation details, hook-up diagrams and level sketch. Experience in Junction Box (JB) grouping, JB wiring, cable schedule, Bulk Material Take-Off (MTO), cable level segregation, and conduit and cable tray selection and sizing. Experience in package engineering and capable to review and approve vendor data to ensure compliance with project requirements. Experience in reviewing 3D modelling using Navisworks or equivalent software and can guide & provide inputs to the designers. Should perform sizing calculation in InstruCalc, Conval or SPI sizing module for Flow Element, Valve, Thermowell. Capable of checking of deliverables as per project requirements and company standard. Hands-on experience in Smart Plant Instrumentation (SPI) for preparing instrument Index, data sheets, hook-up drawing, wiring diagram and loop drawings. Should have well versed in EDE and Query builder in SPI. Ensure effective communication among other engineering disciplines and manage changes effectively. Effectively communicate technical solutions and concepts to both engineers and designers. Ensure all instrumentation and control systems comply with safety, environmental, and industry regulations. About You To be considered for this role it is envisaged you will possess the following attributes Bachelors degree in Instrumentation Engineering from recognized University / Institution. More than 12 years of rich experience Instrumentation engineering, preferably in MMM/ MH sector including DRI, Battery Minerals and Ferrous, Non-ferrous Refinery projects. Proficient in Smart Plant Instrumentation (version 2016 onwards) is a must. Proficient in using sizing softwares like InstruCalc, Conval or SPI sizing module. Proficient in reviewing 3D model using Navisworks. Familiarity with industry standards and regulations, such as ISA, ASME, IEC, UL, CE, NEC & ATEX. Added preferenceHands-on experience in AVEVA Instrumentation, COMOS (preferred). Strong communication and leadership abilities. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. Were building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Here. Please noteIf you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley.

Job Description Company Overview Lifesight is a fast-growing SaaS company focused on helping marketers leverage their own data & advanced AI to improve marketing decision making. Our mission is to make it easy for non-technical marketers to navigate the privacy-first era with a modern and unified marketing measurement platform that is designed to drive incremental impact, optimize spend and achieve their business goals. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. We are a profitable company and our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Position Overview We are looking for a seasoned professional with deep experience in the marketing measurement industry to join and lead our marketing science team. The marketing science team at Lifesight sits in the intersection of customer success, sales and marketing. In this role, you will be responsible for managing our marketing science team and its initiatives. You will be responsible for driving revenue by closing deals and ensuring that our customers' needs are met. You will also be responsible for evangelizing our platform in the market through online and offline activities in order to drive demand and build trust. You will get the unique opportunity to work on growing a trending AI-powered measurement platform, in a massive industry and get to truly drive its adoption & success. What Youll Do Manage a team of marketing scientists who assist in solving our customer measurement needs using Marketing Mix Modeling, universal attribution, incrementality testing and causal inference. Evangelize our UMM platform, articulating its value proposition to a diverse range of brands across multiple industries. Own and achieve a revenue target for the US market driven through strategic initiatives that you set up. Study and understand the customers business goals and KPIs to offer expert recommendations and actionable insights to achieve them using our platform. Manage the portfolio of customer accounts, communications and engagement with the support of our team of customer success and support executives, to ensure customer satisfaction. Craft compelling thought leadership content for social media and other channels to engage potential clients and industry leaders. Oversee custom consulting and professional services work for customers who require them. Contribute to our product roadmap and feature development alongside our product, data science and engineering team. Identify and stay ahead of industry trends, track competitor movements and find differentiators to continuously improve our offering and solutions. Work closely with global sales and marketing to ensure alignment and cohesiveness in go-to-market strategies. Train and coach new marketing scientists and other team members to enable career growth and skill development. Requirements You are perfect for the role if you: Bachelors degree or above in Business Management, BI/Analytics, Economics, Statistics, Mathematics and/or Marketing 6+ years experience with strong foundation in data science and/or marketing science, with significant experience in business analytics, marketing analytics, attribution modeling, marketing mix modeling, experimentation projects. Highly accomplished analytical professional with strong problem solving skills and great attention to detail. Proven track record of working with mid-market and enterprise brands across industries. Proven track record of managing teams and delivering results for customers. Excellent project management and account management capabilities, with exceptional customer communication and servicing skills Exceptional ability to communicate complex data science concepts in simple terms. Skilled in developing strategies that drive revenue and market share. Experienced in leveraging social media platforms for brand promotion and thought leadership. Ability to collaborate effectively with diverse global teams. Benefits Whats in it for you? As a team, we are concerned with not only the growth of the company but each others personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make peoples lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products. 3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 6. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 7. Great benefits - apart from competitive compensation & benefits

Position: Senior Manager marketing Analytics Bengaluru, Karnataka Factspan Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bengaluru, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Responsibilities We are seeking an experienced and dynamic Senior Manager, Marketing Analytics to lead our team in delivering innovative data analytics, Marketing Analytics (Market Mix Modelling), MMM solutions to our clients. The ideal candidate will possess a technical background in data engineering, data science, or strategic business analytics, coupled with exceptional leadership and project management skills. As a Senior Manager, Delivery, you will be responsible for overseeing the end-to-end delivery of medium to complex projects, managing geographically distributed teams, and engaging with senior client stakeholders to ensure successful project outcomes. Key Responsibilities: Technical: Previous hands-on experience in the Data Analytics field, preferably in Marketing analytics, Market Mix Modelling Demonstrated ability to convert business problems into technical solutions and technical delivery roadmaps. Overall 9+ years of experience, progressively moving from technical roles to delivery management positions. Business: Lead the end-to-end delivery of medium to complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains. Manage geographically distributed teams of 15-20 people, preferably in an agile delivery model. Conduct technical client presentations with support from Subject Matter Experts (SMEs) and Centers of Excellence (CoEs). Engage with senior stakeholders (Director level and above) from the client side to understand requirements and ensure alignment with project objectives. Ability to drive team to maintain high customer NPS on all parameters of- Quality of Deliverables,Timeliness,Technical Rigor, Business Grasp Behavioural: Demonstrate passion for the role and commitment to the company's objectives. Stay updated with the latest technological trends and demonstrate strong technical acumen. Possess excellent written and verbal communication skills. Utilize analytical and creative thinking skills to solve complex problems. Foster a collaborative team environment and exhibit self-driven initiative. Demonstrate strong problem-solving abilities and ability to navigate challenges effectively. Qualifications: Minimum 4 years Bachelor's degree Proven track record of successfully delivering medium to complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains. Experience managing geographically distributed teams in an agile delivery model. Excellent leadership and stakeholder management skills, with the ability to engage with senior stakeholders effectively. If you are passionate about leading teams to deliver impactful data analytics solutions, possess strong technical expertise, and thrive in a fast-paced environment, we encourage you to apply for this exciting opportunity. Join us in driving innovation and delivering value to our clients through data-driven insights and solutions.. Why Should You Apply? Grow with Us: Be part of a hyper- growth startup with great opportunities to Learn & Innovate. People: Join hands with the talented, warm, collaborative team and highly accomplished leadership. Buoyant Culture: Embark on an exciting journey with a team that innovates solutions, tackles challenges head-on and crafts a vibrant work environment.