14118 Tableau Jobs - Page 9

Job Title : Senior Data Scientist Location : Matrix Tower, Pune, India Experience : 1012 Years Joining : Immediate Joiners Preferred (May Joiners) Mode of Interview : Virtual Drive (Date TBD) Job Summary As a Senior Data Scientist at Emerson, you will analyze large-scale data sets to uncover trends, develop machine learning models, and deliver actionable insights. You will collaborate across teams to design data-driven solutions that support strategic decisions and operational improvements. Key Responsibilities Analyze complex datasets to identify patterns and insights. Design and deploy predictive models and algorithms to solve business challenges. Build dashboards and visualizations for stakeholders. Collaborate with cross-functional teams to align data solutions with business goals. Clean, process, and validate data for quality and accuracy. Present findings, model outcomes, and KPIs to senior leadership. Participate in Agile/Scrum ceremonies and contribute to iterative development. Stay current with advances in AI, ML, and data science trends. Requirements Bachelors degree in Computer Science, Data Science, Statistics, or related field (Masters preferred). 1012 years of total experience with 5+ years in data science/analytics roles. Strong expertise in ML techniques (e.g., CNN, RNN, SVM, Decision Forests). Experience with NLP, NLG, and Large Language Models (e.g., GPT, BERT, PaLM). Proficient in Python or R, with libraries like pandas, NumPy, TensorFlow, PyTorch. Familiar with visualization tools : Tableau, Power BI, Matplotlib, Seaborn. Experience working with SQL and NoSQL (e.g., MongoDB, Cassandra). Solid communication skills to explain technical insights to non-technical teams. Preferred Qualifications Background in engineering domain. Experience with Scaled Agile Framework (SAFe). Certifications from recognized AI/data science programs. Familiarity with Microsoft Azure or other cloud platforms. Strong analytical, troubleshooting, and multitasking abilities. (ref:hirist.tech) Show more Show less

Key Responsibilities Develop, optimize, and maintain MSSQL databases to support business operations. Design, build, and maintain cloud database solutions to ensure efficient data storage and retrieval. Perform data migration between on-premise and cloud databases, ensuring data integrity and security. Develop and optimize complex SQL queries, stored procedures, functions, and triggers for data analysis and reporting. Implement reporting automation solutions using BI tools, SQL, and scripting techniques to enhance data-driven decision-making. Work on data warehousing solutions to store and analyze structured and unstructured business data efficiently. Ensure data quality, governance, and security by implementing best practices. Collaborate with business stakeholders to understand data requirements and provide actionable insights. Work independently under strict deadlines and manage multiple tasks Skills & Qualifications : 10+ years of experience in SQL development, database management, and data analysis. Expertise in MSSQL Server development, including query optimization and performance tuning. Hands-on experience with cloud databases (AWS RDS, Azure SQL, Google Cloud SQL, etc.). Strong knowledge of data migration strategies and tools. Experience in designing and implementing automated reporting solutions using SQL and BI tools (Power BI, Tableau, etc.). Solid understanding of ETL processes and data warehousing concepts. Ability to analyze large datasets and provide meaningful insights. Strong problem-solving skills, with attention to detail. Excellent communication skills and ability to work independently under tight Functional and Behavioral Characteristics : Positive and professional attitude. Self-motivated with a proactive approach to tasks. Team player with a willingness to collaborate and support colleagues. Strong commitment to accuracy and attention to detail. What We Have To Offer Competitive salary and benefits package. Work in a fast-growing financial services company with a dynamic work environment. Opportunity to work on cutting-edge database and reporting automation solutions. Career growth opportunities and professional development support. (ref:hirist.tech) Show more Show less

About Us Paxcom, a leading Digital Solution Provider, is now a part of Paymentus , a top electronic bill payment provider in North America. Paymentus leads the marketplace with innovative solutions and has recently partnered with PayPal and Alexa to expand its offerings. For more details, visit Paymentus Location: Gurgaon Working Hours: 2:00 PM to 11:00 PM IST Joining Time: Up to 30 days Qualifications: CA Inter/ CMA / MBA (Finance) or Graduate. Key Technical Skills: Financial Analysis, Data Visualization, Tableau, Financial Planning, ERP Systems, Macros, Advance Excel, Revenue Accounting, Accounts Receivable Summary/Objective The Accounting Analyst is responsible for performing a variety of accounting duties, preparing and managing monthly and quarterly account reconciliations, and owning the accounting for Revenue and Accounts Receivable. Essential Functions/ Responsibilities Accurately prepare and book monthly journal entries, including accruals Review new contracts and amendments and set up pricing for them in automated portal Diligently prepare various balance sheet account reconciliations, obtain the necessary detailed transactions for the account and investigate and correct reconciling items Utilize analytical review techniques when reviewing journal entries, account activity, and account reconciliations, to ensure accurate reporting by identifying discrepancies or errors Provide insight into process inefficiencies and recommend process improvement strategies Complete walk throughs with new customers to onboard them and familiarize them with monthly invoices and payment timelines, as well as addressing special requests Monitor Accounts Receivable balance and follow up on late payment accounts for collections Apply cash received towards the corresponding invoices on a monthly basis Preparing various monthly financial reports and adhoc reports that support business decisions Support new projects that add value to the organization Build and utilize working relationships with internal business partners across the organization Perform other duties as required Education And Experience Bachelor’s degree or diploma in accounting, finance or business and either be on a path to achieve your accounting designation (CPA) or have your CPA Have a minimum of three to five (3-5) years’ experience in finance or accounting, in a financial institution would be an asset Have experience with full-cycle accounting Be eager to apply your knowledge of financial accounting principles to everything that you do Be an expert in Microsoft Excel and Microsoft Office products Be comfortable using General Leger software; example Sage Intacct Ability to maintain a high level of accuracy and attention to detail Be quick to respond to requests for service from all of your clients Inherently demonstrate a high level of integrity and be trustworthy Be more than approachable with your superior interpersonal skills Innately demonstrate superior written and verbal communication skills Use your courage to take action in difficult and challenging situations and deal with uncertainty What We Expect from You: Ability to thrive in a fast-paced environment and adapt to changing priorities. Ready to give high quality deliverables as per timeline Detail-oriented focus, with the initiative to seek support when needed. Excellent written and verbal communication skills for both technical and non-technical audiences. Why Join Us? Freedom to work without micromanagement. Flexible and relaxed work environment. Motivating working conditions. Supportive, professional, and achievement-oriented management team. Competitive remuneration. Opportunity to learn new skills and work on the latest technologies daily. Show more Show less

As the member Data Science, this is your opportunity to be part of a next-gen data science team. As a Junior Data Scientist, youll work across business analytics, data engineering, and advanced modelling projects. You will gain hands-on experience in building clean data pipelines, generating user-level insights, and contributing to models that decode complex consumer behaviour. If you're eager to grow at the intersection of data engineering, analytics, and AI, this role is your launchpad. You will influence strategic decisions, pioneer ground breaking technologies, and deliver insights that empower businesses across industries. If youre a visionary who thrives on solving complex challenges and driving transformative change, this role is your canvas to create, inspire, and lead. What Youll Do Learn, Build, and Apply : Support the development of VTIONs behavioral data models through cleaning, transformation, and feature engineering. Assist in the construction and automation of data pipelines with engineering teams. Engage in business analytics projectstranslating behavioral data into marketing and user insights Bridge Data And Business Deliver exploratory analyses, cohort insights, and trend reports to support strategic decisions. Contribute to real-time dashboards and visualizations for internal and client use (Power BI, Tableau, Plotly). Support Innovation Work on classification, clustering, and segmentation models using Python (Scikit-learn, pandas, NumPy). Collaborate & Evolve Partner with data scientists, engineers, and product teams to deliver scalable solutions. Participate in sprint reviews, brainstorms, and post-analysis reviews to drive learning and iteration. Continuously explore new tools, methods, and technologies to elevate your own practice. What Were Looking For Proven Leadership : 5+ years of experience in data science, with at least 3 years leading high-performing teams. Technical Mastery Python (pandas, NumPy, scikit-learn, matplotlib) SQL for data querying Exposure to cloud platforms (AWS, GCP preferred) Bonus : Familiarity with Git, Airflow, dbt, or vector databases Analytics Mindset Ability to interpret business problems into data questions Understanding of basic statistics, experiment design, and metrics interpretation Curiosity And Drive Eagerness to learn in a dynamic, fast-paced environment Strong communication skills and a collaborative spirit Why Join Us Contribute to real-time, high-impact data applications Be mentored by senior leaders in AI, LLMs, and semantic intelligence Build a career path that spans across analytics, engineering, and research Thrive in a culture that values creativity, continuous learning, and ownership (ref:hirist.tech) Show more Show less

Job Description Design, build, and maintain scalable and efficient data pipelines to move data between cloud-native databases (e.g., Snowflake) and SaaS providers using AWS Glue and Python Implement and manage ETL/ELT processes to ensure seamless data integration and transformation Ensure information security and compliance with data governance standards Maintain and enhance data environments, including data lakes, warehouses, and distributed processing systems Utilize version control systems (e.g., GitHub) to manage code and collaborate effectively with the team Primary Skills Enhancements, new development, defect resolution, and production support of ETL development using AWS native services Integration of data sets using AWS services such as Glue and Lambda functions. Utilization of AWS SNS to send emails and alerts Authoring ETL processes using Python and PySpark ETL process monitoring using CloudWatch events Connecting with different data sources like S3 and validating data using Athena. Experience in CI/CD using GitHub Actions Proficiency in Agile methodology Extensive working experience with Advanced SQL and a complex understanding of SQL. Secondary Skills Experience working with Snowflake and understanding of Snowflake architecture, including concepts like internal and external tables, stages, and masking policies. Competencies / Experience Deep technical skills in AWS Glue (Crawler, Data Catalog): 10+ years. Hands-on experience with Python and PySpark: 5+ years. PL/SQL experience: 5+ years CloudFormation and Terraform: 5+ years CI/CD GitHub actions: 5+ year Experience with BI systems (PowerBI, Tableau): 5+ year Good understanding of AWS services like S3, SNS, Secret Manager, Athena, and Lambda: 5+ years Additionally, familiarity with any of the following is highly desirable: Jira, Gi (ref:hirist.tech) Show more Show less

Viral Mint (Digital Marketing Agency) is looking for Sr. Data Engineer. Role Description : This is a full-time on-site role for a Senior Data Engineer at ViralMint. The Senior Data Engineer will be responsible for analyzing data, creating data models, communicating insights, and utilizing statistical techniques to drive business decisions. Experience : 5-7 years. Location : Baner, Pune (On-Site Job). Salary : Decent hike on your Current CTC. Responsibilities Analytical Skills, Data Analytics, and Statistics proficiency. Strong Communication skills. Data Modeling expertise. Experience in utilizing statistical methods for data analysis. Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Experience with SQL, Python, or R is preferred. Must Have data visualization tools like Tableau or Power BI and Advance Excel , AI or Machine learning and strong Math's. Ability to work collaboratively in a team environment. A data analyst oversees organizing data related to sales figures, market research, logistics, Customers behaviors. A data Analyst collect the all data ( Needful information ) for particular task. (ref:hirist.tech) Show more Show less

Data Engineer (3-4 Years Experience) - Real-time & Batch Processing | AWS, Kafka, Click House, Python Location : NOIDA. Experience : 3-4 years. Job Type : Full-Time. About The Role We are looking for a skilled Data Engineer with 3-4 years of experience to design, build, and maintain real-time and batch data pipelines for handling large-scale datasets. You will work with AWS, Kafka, Cloudflare Workers, Python, Click House, Redis, and other modern technologies to enable seamless data ingestion, transformation, merging, and storage. Bonus: If you have Web Data Analytics or Programmatic Advertising knowledge, it will be a big plus!. Responsibilities Real-Time Data Processing & Transformation : Build low-latency, high-throughput real-time pipelines using Kafka, Redis, Firehose, Lambda, and Cloudflare Workers. Perform real-time data transformations like filtering, aggregation, enrichment, and deduplication using Kafka Streams, Redis Streams, or AWS Lambda. Merge data from multiple real-time sources into a single structured dataset for analytics. Batch Data Processing & Transformation Develop batch ETL/ELT pipelines for processing large-scale structured and unstructured data. Perform data transformations, joins, and merging across different sources in Click House, AWS Glue, or Python. Optimize data ingestion, transformation, and storage workflows for efficiency and reliability. Data Pipeline Development & Optimization Design, develop, and maintain scalable, fault-tolerant data pipelines for real-time & batch processing. Optimize data workflows to reduce latency, cost, and compute load. Data Integration & Merging Combine real-time and batch data streams for unified analytics. Integrate data from various sources (APIs, databases, event streams, cloud storage). Cloud Infrastructure & Storage Work with AWS services (S3, EC2, ECS, Lambda, Firehose, RDS, Redshift, ClickHouse) for scalable data processing. Implement data lake and warehouse solutions using S3, Redshift, and ClickHouse. Data Visualization & Reporting Work with Power BI, Tableau, or Grafana to create real-time dashboards and analytical reports. Web Data Analytics & Programmatic Advertising (Big Plus!) : Experience working with web tracking data, user behavior analytics, and digital marketing datasets. Knowledge of programmatic advertising, ad impressions, clickstream data, and real-time bidding (RTB) analytics. Monitoring & Performance Optimization Implement monitoring & logging of data pipelines using AWS CloudWatch, Prometheus, and Grafana. Tune Kafka, Click House, and Redis for high performance. Collaboration & Best Practices Work closely with data analysts, software engineers, and DevOps teams to enhance data accessibility. Follow best practices for data governance, security, and compliance. Must-Have Skills Programming : Strong experience in Python and JavaScript. Real-time Data Processing & Merging : Expertise in Kafka, Redis, Cloudflare Workers, Firehose, Lambda. Batch Processing & Transformation : Experience with Click House, Python, AWS Glue, SQL-based transformations. Data Storage & Integration : Experience with MySQL, Click House, Redshift, and S3-based storage. Cloud Technologies : Hands-on with AWS (S3, EC2, ECS, RDS, Firehose, Click House, Lambda, Redshift). Visualization & Reporting : Knowledge of Power BI, Tableau, or Grafana. CI/CD & Infrastructure as Code (IaC) : Familiarity with Terraform, CloudFormation, Git, Docker, and Kubernetes. (ref:hirist.tech) Show more Show less

Spendflo is a fast-growing Series A startup helping companies streamline how they procure, manage, and optimize their software and services. Backed by top-tier investors, were building the most intelligent, automated platform for procurement operations. We are now looking for a Senior Data Engineer to design, build, and scale our data infrastructure. Youll be the backbone of all data movement at Spendflo from ingestion to transformation to Youll Do : Design, implement, and own the end-to-end data architecture at Spendflo. Build and maintain robust, scalable ETL/ELT pipelines across multiple sources and systems. Develop and optimize data models for analytics, reporting, and product needs. Own the reporting layer and work with PMs, analysts, and leadership to deliver actionable data. Ensure data quality, consistency, and lineage through validation and monitoring. Collaborate with engineering, product, and data science teams to build seamless data flows. Optimize data storage and query performance for scale and speed. Own documentation for pipelines, models, and data flows. Stay current with the latest data tools and bring in the right technologies. Mentor junior data engineers and help establish data best Qualifications : 5+ years of experience as a data engineer, preferably in a product/startup environment . Strong expertise in building ETL/ELT pipelines using modern frameworks (e.g., Dagster, dbt, Airflow). Deep knowledge of data modeling (star/snowflake schemas, denormalization, dimensional modeling). Hands-on with SQL (advanced queries, performance tuning, window functions, etc.). Experience with cloud data warehouses like Redshift, BigQuery, Snowflake, or similar. Comfortable working with cloud platforms (AWS/GCP/Azure) and tools like S3, Lambda, etc. Exposure to BI tools like Looker, Power BI, Tableau, or equivalent. Strong debugging and performance tuning skills. Excellent communication and documentation Qualifications : Built or managed large-scale, cloud-native data pipelines. Experience with real-time or stream processing (Kafka, Kinesis, etc.). Understanding of data governance, privacy, and security best practices. Exposure to machine learning pipelines or collaboration with data science teams. Startup experience able to handle ambiguity, fast pace, and end-to-end ownership. (ref:hirist.tech) Show more Show less

Location: Goregaon, Mumbai About Segumento: Segumento is a fast-growing B2B SaaS company specializing in AI-driven solutions for audience targeting, first-party data enrichment, and location intelligence. We empower businesses with cutting-edge technology, enabling precise targeting and actionable insights. Our platform integrates with major channels like Meta, Google Ads, DV360, and offers seamless performance dashboards, custom audiences, and advanced enrichment solutions. Job Overview We are seeking a talented Presentation Specialist with a knack for crafting professional, visually engaging presentations that effectively communicate complex ideas. In this role, you will work closely with various teams, including sales, marketing, and product, to develop decks that align with our brand and business goals. Key Responsibilities Deck Creation: Design and develop high-quality, professional presentations for internal and external use, including sales pitches, product demos, and investor presentations. Content Development: Collaborate with subject matter experts to transform complex concepts into clear, compelling, and visually appealing slides. Brand Consistency: Ensure all presentations adhere to brand guidelines and maintain a consistent visual identity. Data Visualization: Create infographics, charts, and diagrams that clearly convey data and insights. Feedback Integration: Incorporate feedback from stakeholders to refine and perfect presentations. Collaboration: Work closely with sales, marketing, product, and executive teams to ensure presentations meet business objectives and resonate with target audiences. Required Qualifications Experience: 2+ years of experience in creating professional presentations. Experience with data visualization tools like Tableau or Power BI. Knowledge of video editing tools for incorporating multimedia elements into presentations. Utilize tools like PowerPoint, Keynote, Google Slides, etc. to create top-notch presentations. Familiarity with branding and marketing principles. Show more Show less

The Business Analyst is an intermediate level position responsible for the overall administrative activities of a business. These tasks may include contribution to external audits, business continuity activities or addressing regulatory issues. The Business Analyst may assist in activities such as the tracking of business financials, managing employee headcount or coordination of other administrative needs. May work on ad hoc projects as requested. Responsibilities: Summarize budgets and submit recommendations for the approval or disapproval of funds requests Analyze monthly department budgeting and accounting reports to maintain expenditure controls Examine budget estimates for completeness, accuracy, and conformity with procedures and regulations Monitor the preparation of regular and special budget reports Provide advice and technical assistance with cost analysis, fiscal allocation, and budget preparation Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 2 years of relevant experience into Headcount, budgeting, MIS and analytics, revenues, and Equities Database query knowledge preferred - Tableau Proven expertise in Microsoft Office Consistently demonstrates clear and concise written and verbal communication skills Education: Bachelor’s Degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Business Strategy, Management & Administration ------------------------------------------------------ Job Family: Business Execution & Administration ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Designation : Data Scientist Experience : 3-8 Years Location : Chennai Job Description We are seeking a skilled Data Scientist to join our team. In this role, you will leverage advanced analytics and machine learning techniques to extract actionable insights from complex datasets, driving data-informed decision-making across the organization. Key Responsibilities Data Collection & Preprocessing : Gather, clean, and preprocess structured and unstructured data from various sources to ensure high-quality datasets for analysis. Model Development : Design, develop, and deploy predictive models and machine learning algorithms to address business challenges. Data Analysis : Conduct exploratory data analysis to identify trends, patterns, and anomalies, providing insights to inform strategic decisions. Visualization & Reporting : Create compelling data visualizations and reports to effectively communicate findings to both technical and non-technical stakeholders. Collaboration : Work closely with cross-functional teams, including engineering and product development, to integrate data-driven solutions into business processes. Required Skills & Qualifications Technical Proficiency : Strong programming skills in Python or R; experience with SQL for data querying. Machine Learning Expertise : Solid understanding of machine learning algorithms and frameworks; experience with libraries such as scikit-learn, TensorFlow, or PyTorch. Statistical Analysis : Strong foundation in statistics and data analysis techniques. Data Visualization : Proficiency in tools like Tableau, Power BI, or Matplotlib for creating insightful visualizations. Preferred Qualifications Big Data Technologies : Familiarity with big data platforms like Hadoop or Spark. Cloud Platforms : Experience with cloud services such as AWS, Azure, or Google Cloud. Business Acumen : Ability to translate complex data findings into actionable business strategies. (ref:hirist.tech) Show more Show less

Key Responsibilities Design, build, and maintain scalable, reliable, and efficient data pipelines to support data analytics and business intelligence needs. Optimize and automate data workflows, enhancing the efficiency of data processing and reducing latency. Implement and maintain data storage solutions, ensuring that data is organized, secure, and readily accessible. Provide expertise in ETL processes, data wrangling, and data transformation techniques. Collaborate with technology teams to ensure that data engineering solutions align with overall business goals. Stay current with industry best practices and emerging technologies in data engineering, implementing improvements as : Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field. Experience with Agile methodologies and software development project : Proven experience in data engineering, with expertise in building and managing data pipelines, ETL processes, and data warehousing. Proficiency in SQL, Python, and other programming languages commonly used in data engineering. Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with cloud-based data storage and processing tools (e.g., S3, Redshift, BigQuery, etc.). Good to have familiarity with big data technologies (e.g., Hadoop, Spark) and real-time data processing. Strong understanding of database management systems and data modeling techniques. Experience with BI tools like Tableau, Power BI along with ETL tools like Alteryx, or similar, and ability to work closely with analytics teams. High attention to detail and commitment to data quality and accuracy. Ability to work independently and as part of a team, with strong collaboration skills. Highly adaptive and comfortable working within a complex, fast-paced environment. (ref:hirist.tech) Show more Show less

Data Engineer - Google Cloud Location : Remote, India About Us Aviato Consulting is looking for a highly skilled and motivated Data Engineer to join our expanding team. This role is ideal for someone with a deep understanding of cloud-based data solutions, with a focus on Google Cloud (GCP) and associated technologies. GCP certification is mandatory for this position to ensure the highest level of expertise and professionalism. You will work directly with clients, translating their business requirements into scalable data solutions, while providing technical expertise and guidance. Key Responsibilities Client Engagement : Work closely with clients to understand business needs, gather technical requirements, and design solutions leveraging GCP services. Data Pipeline Design & Development : Build and manage scalable data pipelines using tools such as Apache Beam, Cloud Dataflow, and Cloud Composer. Data Warehousing & Lake Solutions : Architect, implement, and optimize BigQuery-based data lakes and warehouses. Real-Time Data Processing : Implement and manage streaming data pipelines using Kafka, Pub/Sub, and similar technologies. Data Analysis & Visualization : Create insightful data dashboards and visualizations using tools like Looker, Data Studio, or Tableau. Technical Leadership & Mentorship : Provide guidance and mentorship to team members and clients, helping them leverage the full potential of Google Cloud. Required Qualifications Experience : 5+ years as a Data Engineer working with cloud-based platforms. Proven experience in Python with libraries like Pandas and NumPy. Strong understanding and experience with FastAPI for building APIs. Expertise in building data pipelines using Apache Beam, Cloud Dataflow, or similar tools. Solid knowledge of Kafka for real-time data streaming. Proficiency with BigQuery, Google Pub/Sub, and other Google Cloud services. Familiarity with Apache Hadoop for distributed data processing. Technical Skills Strong understanding of data architecture and processing techniques. Experience with big data environments and tools like Apache Hadoop. Solid understanding of ETL pipelines, data ingestion, transformation, and storage. Knowledge of data modeling, data warehousing, and big data management principles. Certifications Google Cloud certification (Professional Data Engineer, Cloud Architect) is mandatory for this role. Soft Skills Excellent English communication skills. Client-facing experience and the ability to manage client relationships effectively. Strong problem-solving skills with a results-oriented approach. Preferred Qualifications Visualization Tools : Experience with tools like Looker, Power BI, or Tableau. Benefits Competitive salary and benefits package. Opportunities to work with cutting-edge cloud technologies with large customers. Collaborative work environment that encourages learning and professional growth. A chance to work on high-impact projects for leading clients in diverse industries. If you're passionate about data engineering, cloud technologies, and solving complex data problems for clients, wed love to hear from you! (ref:hirist.tech) Show more Show less

Company Description We bring experience and clarity to organizations, powering every human decision with analytics & AI. Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We Provide Best-in-class Services That Increase Profit For Businesses And Deliver Improved Value For Customers, Helping Businesses Grow, Transform, And Achieve Their Details Position : Data Analyst (Oncology) Experience : 5+ Years Work Mode : Description : Develop dashboards and storytelling to provide insights on Global commercial portfolio, marketing, sales and market access Generate insights from commercial, market access and RWE data by performing hands-on descriptive analytics Perform business rollout of dashboards to drive large user adoption, satisfaction and impact, and monitor KPIs to ensure operational and business success in steady state Develop analytics strategy to answer business questions and drive commercial decisions Evaluate and purchase the right data for analytics Work closely with Global Commercial, Global Market Access, IT, as well as US, Germany and other affiliates to understand business needs and develop solutions Communicate business impact effectively to senior : 5+ years of data analytics experience 3+ years of pharma commercial data analytics experience 2+ years of Oncology commercial data analytics experience Experience with Oncology commercial datasets, data purchasing, data analytics strategy, launches, MDM, commercial analytics, sales force effectiveness (e.g. targeting, segmentation, incentive compensation), omnichannel, next-best action, marketing mix, RWE Hands-on experience in dashboarding tools such as Tableau, PowerBI required Knowledge of programming languages or Alteryx required Experience working closely with commercial teams (ref:hirist.tech) Show more Show less

Key Responsibilities Data Science Leadership : Utilize in-depth knowledge of data science and data analytics to architect and drive strategic initiatives across departments. Stakeholder Collaboration : Work closely with cross-functional teams to define and implement data strategies aligned with business objectives. Model Development : Design, build, and deploy predictive models and machine learning algorithms to solve complex business problems and uncover actionable insights. Integration and Implementation : Collaborate with IT and domain experts to ensure smooth integration of data science models into existing business workflows and systems. Innovation and Optimization : Continuously evaluate new data tools, methodologies, and technologies to enhance analytical capabilities and operational efficiency. Data Governance : Promote data quality, consistency, and security standards across the organization. Required Qualifications Bachelors or Masters Degree in Economics, Statistics, Data Science, or a related field. A minimum of 8 years of relevant experience in data analysis, data science, or analytics roles. At least 3 years of direct experience as a Data Scientist, preferably in enterprise or analytics lab environments. Possession of at least one recognized data science certification, such as : Certified Analytics Professional (CAP) Google Professional Data Engineer Proficiency in data visualization and storytelling tools and libraries, such as Matplotlib, Seaborn, and Tableau. Strong foundation in statistical modeling and risk analytics, with proven experience building and validating such models. Preferred Skills And Attributes Strong programming skills in Python, R, or similar languages. Experience with cloud-based analytics platforms (AWS, GCP, or Azure). Familiarity with data engineering concepts and tools (e.g., SQL, Spark, Hadoop). Excellent problem-solving, communication, and stakeholder engagement skills. Ability to manage multiple projects and mentor junior team members. (ref:hirist.tech) Show more Show less

About Sleek Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs. We give Entrepreneurs time back to focus on what they love doing growing their business and being with customers. With a surging number of Entrepreneurs globally, we are innovating in a highly lucrative space. We Operate 3 Business Segments Corporate Secretary : Automating the company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and SleekSign. We are the market leaders in Singapore with : 5% market share of all new business incorporations. Accounting & Bookkeeping : Redefining what it means to do Accounting, Bookkeeping, Tax and Payroll thanks to our proprietary SleekBooks ledger, AI tools and exceptional customer service. FinTech payments : Overcoming a key challenge for Entrepreneurs by offering digital banking services to new businesses. Sleek launched in 2017 and now has around 15,000 customers across our offices in Singapore, Hong Kong, Australia and the UK. We have around 450 staff with an intact startup mindset. We have achieved >70% compound annual growth in Revenue over the last 5 years and as a result have been recognised by The Financial Times, The Straits Times, Forbes and LinkedIn as one of the fastest growing companies in Asia. Role Backed by world-class investors, we are on track to be one of the few cash flow positive, tech-enabled unicorns based out of The Role : We are looking for an experienced Senior Data Engineer to join our growing team. As a key member of our data team, you will design, build, and maintain scalable data pipelines and infrastructure to enable data-driven decision-making across the organization. This role is ideal for a proactive, detail-oriented individual passionate about optimizing and leveraging data for impactful business : Work closely with cross-functional teams to translate our business vision into impactful data solutions. Drive the alignment of data architecture requirements with strategic goals, ensuring each solution not only meets analytical needs but also advances our core objectives. 3, Be pivotal in bridging the gap between business insights and technical execution by tackling complex challenges in data integration, modeling, and security, and by setting the stage for exceptional data performance and insights. Shape the data roadmap, influence design decisions, and empower our team to deliver innovative, scalable, high-quality data solutions every : Achieve and maintain a data accuracy rate of at least 99% for all business-critical dashboards by start of day (accounting for corrections and job failures), with a 24-business hour detection of error and 5-day correction SLA. 95% of data on dashboards originates from technical data pipelines to mitigate data drift. Set up strategic dashboards based on Business Needs which are robust, scalable, easy and quick to operate and maintain. Reduce costs of data warehousing and pipelines by 30%, then maintaining costs as data needs grow. Achieve 50 eNPS on data services (e.g. dashboards) from key business : Data Pipeline Development : Design, implement, and optimize robust, scalable ETL/ELT pipelines to process large volumes of structured and unstructured data. Data Modeling : Develop and maintain conceptual, logical, and physical data models to support analytics and reporting requirements. Infrastructure Management : Architect, deploy, and maintain cloud-based data platforms (e.g. , AWS, GCP). Collaboration : Work closely with data analysts, business owners, and stakeholders to understand data requirements and deliver reliable solutions, including designing and implementing robust, efficient and scalable data visualization on Tableau or LookerStudio. Data Governance : Ensure data quality, consistency, and security through robust validation and monitoring frameworks. Performance Optimization : Monitor, troubleshoot, and optimize the performance of data systems and pipelines. Innovation : Stay up to date with the latest industry trends and emerging technologies to continuously improve data engineering & Qualifications : Experience : 5+ years in data engineering, software engineering, or a related field. Technical Proficiency Proficiency in working with relational databases (e.g. , PostgreSQL, MySQL) and NoSQL databases (e.g. , MongoDB, Cassandra). Familiarity with big data frameworks like Hadoop, Hive, Spark, Airflow, BigQuery, etc. Strong expertise in programming languages such as Python, NodeJS, SQL etc. Cloud Platforms : Advanced knowledge of cloud platforms (AWS, or GCP) and their associated data services. Data Warehousing : Expertise in modern data warehouses like BigQuery, Snowflake or Redshift, etc. Tools & Frameworks : Expertise in version control systems (e.g. , Git), CI/CD, JIRA pipelines. Big Data Ecosystems / BI : BigQuery, Tableau, LookerStudio. Industry Domain Knowledge : Google Analytics (GA), Hubspot, Accounting/Compliance etc. Soft Skills : Excellent problem-solving abilities, attention to detail, and strong communication Qualifications : Degree in Computer Science, Engineering, or a related field. Experience with real-time data streaming technologies (e.g. , Kafka, Kinesis). Familiarity with machine learning pipelines and tools. Knowledge of data security best practices and regulatory The Interview Process : The successful candidate will participate in the below interview stages (note that the order might be different to what you read below). We anticipate the process to last no more than 3 weeks from start to finish. Whether the interviews are held over video call or in person will depend on your location and the role. Case study. A : 60 minute chat with the Data Analyst, where they will give you some real-life challenges that this role faces, and will ask for your approach to solving them. Career deep dive. A : 60 minute chat with the Hiring Manager (COO). They'll discuss your last 1-2 roles to understand your experience in more detail. Behavioural fit assessment. A : 60 minute chat with our Head of HR or Head of Hiring, where they will dive into some of your recent work situations to understand how you think and work. Offer + reference interviews. We'll Make a Non-binding Offer Verbally Or Over Email, Followed By a Couple Of Short Phone Or Video Calls With References That You Provide To For Background Screening Please be aware that Sleek is a regulated entity and as such is required to perform different levels of background checks on staff depending on their role. This may include using external vendors to verify the below : Your education. Any criminal history. Any political exposure. Any bankruptcy or adverse credit history. We will ask for your consent before conducting these checks. Depending on your role at Sleek, an adverse result on one of these checks may prohibit you from passing probation. (ref:hirist.tech) Show more Show less

Role : Business Analyst Company : Inductus Role : Business Analyst Experience : 2-3 Year Location : Noida Inductus Is Looking For Motivated And Detail-oriented Business Analyst With Proficiency In One Or More Of The Following Foreign Languages Japanese Russian Korean German Arabic Requirements Excellent verbal and written communication skills Proficiency in at least one of the listed foreign languages Strong analytical and critical thinking skills Basic understanding of business processes and project documentation Clear, clean, accessible writing skills with an eye for consistently, detail, and technical accuracy. Ability to quickly grasp complex technical concepts and make them easily understandable in text. Ability to manage multiple writing assignments simultaneously. Experience with workflow and internal documentation tools such as JIRA/Confluence Basic familiarity with the SDLC and software development Familiarity with digital property marketplace Experience with Analytics, AI and generative AI is desired Lead a team of Architects and Sr Technical members to achieve above. Preferred Technical Skills MS Excel (Intermediate to Advanced) PowerPoint & MS Word Data visualization tools (e.g., Power BI or Tableau basic level) Basic knowledge of SQL is a plus Understanding of tools like JIRA, Confluence, or similar project management platforms is a bonus Why Join Us? Gain hands-on experience in business analysis Work in a dynamic, multicultural environment Exposure to live projects and client interactions Supportive and growth-oriented team culture (ref:hirist.tech) Show more Show less

About The Role We are looking for a Data Analyst with a strong background in data visualization and business analytics. This role requires expertise in analyzing large datasets, creating insightful reports, and presenting data-driven findings using Adobe Analytics, Tableau, Power Query, and SQL Workbench. The ideal candidate will help drive business decisions by transforming raw data into meaningful insights through advanced reporting and visualization Responsibilities Analyze large datasets to extract meaningful insights and identify trends to support business decision-making. Develop interactive dashboards and reports using Tableau and Power Query for data visualization. Utilize Adobe Analytics to track and analyze digital performance, user behavior, and key business metrics. Write and optimize SQL queries in SQL Workbench to retrieve, manipulate, and process large volumes of data. Translate complex data findings into clear and actionable business insights for various stakeholders. Create compelling data visualizations and storytelling techniques to communicate findings effectively. Work with cross-functional teams to define business analytics needs, ensuring alignment with company objectives. Ensure data accuracy, integrity, and automation in reporting processes. Identify key KPIs and metrics to measure business performance and suggest data-driven strategies for & Qualifications 3+ years of experience in data analysis, business analytics, and data visualization. Expertise in Adobe Analytics for web traffic analysis and performance tracking. Strong hands-on experience with Tableau for data visualization and interactive reporting. Proficiency in Power Query for data transformation and automation. Advanced SQL skills using SQL Workbench to query and manipulate large datasets. Strong understanding of business analytics and KPI measurement for data-driven decision-making. Excellent data storytelling skills, with the ability to present insights to both technical and non-technical stakeholders. Strong problem-solving and critical-thinking skills in interpreting data trends. Experience working with cross-functional teams, marketing, product, and finance teams to support Data-driven Qualifications Experience with Python or R for advanced data analysis. Familiarity with Google Analytics or other digital analytics tools. Exposure to cloud platforms (AWS, GCP, or Azure) for data processing. (ref:hirist.tech) Show more Show less

Role : Senior Data Scientist Experience : 8+ Location : Ghaziabad Responsibilities Possesses deep expertise in data analysis, data science, and data management, with a focus on data lab or analytics-driven environments. Collaborates with stakeholders to design and implement data strategies that align with organizational goals. Develops and deploys predictive models and machine learning algorithms to address business challenges and deliver actionable insights. Works in close coordination with domain experts and IT teams to seamlessly integrate data science solutions into existing systems and workflows. Qualification Bachelors Degree/masters degree or Equivalent in Economics, Statistics, Data Science or related field. 8+ Years of relevant experience. 3+ Years of experience as Data Scientist. Certifications in data science, machine learning, or related areas Minimum one required from Certified Analytics Professional (CAP)/AWS Certified Big Data Specialty/Google Professional Data Engineer. Experience in data visualization tools (e.g., Matplotlib, Seaborn, Tableau etc.). Prior experience of statistical/risk modelling. (ref:hirist.tech) Show more Show less

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description As a BI Analyst specializing in any of BI tools, your role focuses on leveraging your expertise in BI tools to research, design, create, and implement data models, reports/dashboards, and data-driven applications. You will spearhead the design and implementation of end-to-end BI solutions, actively identifying and resolving data quality issues. As a collaborative team member, you will closely engage with other development teams within the organization to strategize, coordinate, and deliver solutions aligned with client priorities and internal product roadmaps. Responsibilities The Business Intelligence (BI) Analyst works directly with business stakeholders to create data-based solutions that analyze performance and maintain operations Design data models and reports. Translate requests from business stakeholders into actionable reports Meet with business stakeholders to clarify requirements and communicate progress Collaborate with team members Write and troubleshoot SQL queries Prep data for reports and analysis Peer review work of other team members Plainly communicate technical issues and concepts to business stakeholders Support automated report distributions Promote reports from development to test to production Flexible to work on any BI platform Required Skills Graduate with 4 - 7 years of experience, 3+ years of relevant experience is mandatory. Extensive experience with Power BI & Tableau, and SQL / relational databases. Extensive experience in dimensional data modeling; star schemas, snowflakes, denormalized models, and handling - slow-changing- dimensions/attributes. Strong understanding of disciplined approaches to Data Visualization and Reporting. Experience in understanding complex ETL processes, involving relational and non-relational data. Proven record or experience in working with Apache Superset/Power BI/Tableau/Looker. Connect and Harmonize (both structured & unstructured) data across third-party data platforms. Draw insights from data and action it through alerts & customizable publishing tools. Certification in Power BI or any BI tool is preferred. Ability to lead cross-functional team communication and develop cross-functional partnerships. Excellent problem-solving and data analysis skills. Familiarity with our Data Technology Stack (SQL Server, Amazon Redshift, S3, Athena and Snowflake) Experience in Media/Marketing industry or domain is a plus Ability to quickly grasp existing systems, goals and tech. options for given situations. Experienced complete lifecycle of at least one data warehouse/Business Intelligence program at Enterprise scale. Experience in Agile Delivery & Agile tools like JIRA/Azure DevOps is a plus Preferred Skills Structured thinker, result-oriented, passionate about data-driven decision-making, particularly leveraging Apache Superset/Tableau/Power BI. Passion for problem-solving, developing reports & dashboards Should possess good communication skills. Should be a very good team player with a go-getter attitude, results-driven, adaptable, inspirational, organized and quality focused Ability to handle complex problems from design to execution and deliver in time bound manner under constraints. Minimum Education Required Bachelor’s degree in Computer Science, or related quantitative field required (master’s degree in business administration preferred). Show more Show less

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description As a BI Analyst specializing in any of BI tools, your role focuses on leveraging your expertise in BI tools to research, design, create, and implement data models, reports/dashboards, and data-driven applications. You will spearhead the design and implementation of end-to-end BI solutions, actively identifying and resolving data quality issues. As a collaborative team member, you will closely engage with other development teams within the organization to strategize, coordinate, and deliver solutions aligned with client priorities and internal product roadmaps. Responsibilities The Business Intelligence (BI) Analyst works directly with business stakeholders to create data-based solutions that analyse performance and maintain operations Design data models and reports. Translate requests from business stakeholders into actionable reports Meet with business stakeholders to clarify requirements and communicate progress Collaborate with team members in a one-on-one setting Write and troubleshoot SQL queries Prep data for reports and analysis Peer review work of other team members Plainly communicate technical issues and concepts to business stakeholders Support automated report distributions Promote reports from development to test to production Required Skills Graduate with 3 - 7 years of experience, 3+ years relevant experience is mandatory. Extensive experience with Apache Superset, Power BI, Tableau, or any BI platforms and SQL / relational databases. Extensive experience in dimensional data modeling; star schemas, snowflakes, denormalized models, and handling - slow-changing- dimensions/attributes. Strong understanding of disciplined approaches to Data Visualization and Reporting. Experience in understanding complex ETL processes, involving relational and non-relational data. Proven record or experience in working with Apache Superset/Power BI/Tableau/Looker. Connect and Harmonize (both structured & unstructured) data across third-party data platforms. Draw insights from data and action it through alerts & customizable publishing tools. Certification in Power BI or any BI tool is preferred. Ability to lead cross-functional team communication and develop cross-functional partnerships. Excellent problem-solving and data analysis skills. Familiarity with our Data Technology Stack (SQL Server, Amazon Redshift, S3, Athena and Snowflake) Experience in Media/Marketing industry or domain is a plus Ability to quickly grasp existing systems, goals and tech. options for given situations. Experienced complete lifecycle of at least one data warehouse/Business Intelligence program at Enterprise scale. Experience in Agile Delivery & Agile tools like JIRA/Azure DevOps is a plus Preferred Skills Structured thinker, result-oriented, passionate about data-driven decision-making, particularly leveraging Apache Superset/Tableau/Power BI. Passion for problem-solving, developing reports & dashboards Should possess good communication skills. Should be a very good team player with a go-getter attitude, results-driven, adaptable, inspirational, organized and quality focused Ability to handle complex problems from design to execution and deliver in time bound manner under constraints. Minimum Education Required Bachelor’s degree in Computer Science, or related quantitative field required (master’s degree in business administration preferred). Show more Show less

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description As a BI Analyst specializing in any of BI tools, your role focuses on leveraging your expertise in BI tools to research, design, create, and implement data models, reports/dashboards, and data-driven applications. You will spearhead the design and implementation of end-to-end BI solutions, actively identifying and resolving data quality issues. As a collaborative team member, you will closely engage with other development teams within the organization to strategize, coordinate, and deliver solutions aligned with client priorities and internal product roadmaps. Responsibilities The Business Intelligence (BI) Analyst works directly with business stakeholders to create data-based solutions that analyze performance and maintain operations Design data models and reports. Translate requests from business stakeholders into actionable reports Meet with business stakeholders to clarify requirements and communicate progress Collaborate with team members Write and troubleshoot SQL queries Prep data for reports and analysis Peer review work of other team members Plainly communicate technical issues and concepts to business stakeholders Support automated report distributions Promote reports from development to test to production Flexible to work on any BI platform Required Skills Graduate with 2 - 4 years of experience, 2+ years of relevant experience is mandatory. Extensive experience with Power BI & Tableau, and SQL / relational databases. Extensive experience in dimensional data modeling; star schemas, snowflakes, denormalized models, and handling - slow-changing- dimensions/attributes. Strong understanding of disciplined approaches to Data Visualization and Reporting. Experience in understanding complex ETL processes, involving relational and non-relational data. Proven record or experience in working with Apache Superset/Power BI/Tableau/Looker. Connect and Harmonize (both structured & unstructured) data across third-party data platforms. Draw insights from data and action it through alerts & customizable publishing tools. Certification in Power BI or any BI tool is preferred. Ability to lead cross-functional team communication and develop cross-functional partnerships. Excellent problem-solving and data analysis skills. Familiarity with our Data Technology Stack (SQL Server, Amazon Redshift, S3, Athena and Snowflake) Experience in Media/Marketing industry or domain is a plus Ability to quickly grasp existing systems, goals and tech. options for given situations. Experienced complete lifecycle of at least one data warehouse/Business Intelligence program at Enterprise scale. Experience in Agile Delivery & Agile tools like JIRA/Azure DevOps is a plus Preferred Skills Structured thinker, result-oriented, passionate about data-driven decision-making, particularly leveraging Apache Superset/Tableau/Power BI. Passion for problem-solving, developing reports & dashboards Should possess good communication skills. Should be a very good team player with a go-getter attitude, results-driven, adaptable, inspirational, organized and quality focused Ability to handle complex problems from design to execution and deliver in time bound manner under constraints. Minimum Education Required Bachelor’s degree in Computer Science, or related quantitative field required (master’s degree in business administration preferred). Show more Show less

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. The companies are headquartered in St. Petersburg, FL, U.S.A., with their global delivery centers in Mysuru and Bengaluru, Karnataka, India. Job Description The Group Product Manager will lead the strategic development and enhancement of our proprietary business intelligence platform, iSOCRATES MADTechAI, as well as other innovative products. This role demands a deep understanding of technology, strong analytical skills, and a collaborative mindset to evaluate product potential, oversee the product lifecycle, and ensure alignment with both client-partner and internal needs. Key Responsibilities Product Management and Strategy: Lead the strategic vision and execution of iSOCRATES MADTechAI, focusing on feature enhancements and user experience improvements Conduct market research to identify customer needs within the AdTech, MarTech, and DataTech landscapes, translating them into actionable product requirements Prioritize product features based on business impact, customer feedback, and technical feasibility Product Development Lifecycle: Oversee the entire product development lifecycle, including conception, design, development, testing, and launch phases Utilize Agile methodologies (SCRUM, Kanban) to facilitate iterative development and continuous improvement Manage roadmaps, timelines, and deliverables using tools like Jira, ensuring projects are on track and risks are mitigated Technical Design and Architecture: SaaS Development: Deep understanding of SaaS architecture, deployment, and lifecycle management Cloud Platforms: Proficiency with cloud platforms (AWS required; Google Cloud and Azure preferred) AI and Machine Learning: Extensive experience with AI/ML concepts, tools, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and their application in product development Data Engineering: Strong knowledge of data engineering principles, including ETL processes, data pipelines, and data modeling to ensure data integrity and availability for analytics Data Analytics: Strong knowledge of data analytics, data warehousing, and business intelligence tools (e.g., SQL, Tableau, PowerBI, Sisense) Natural Language Processing (NLP): Familiarity with NLP techniques and applications in product features to enhance user engagement and insights Microservices Architecture: Experience designing and implementing microservices architectures to enhance product scalability and maintainability ReactJS Technologies: Proficiency in ReactJS and related frameworks to ensure seamless front-end development and integration with back-end services Collaborate with engineering teams to define system architecture and design concepts that align with best practices in UX/UI Ensure the integration of various technologies, including APIs, AngularJS, Node.js, ReactJS, and MVC architecture into product offerings Strong hands-on experience in Product-Led Growth (PLG) strategies and Partner/Channel go-to-market approaches Cross-Functional Collaboration: Partner closely with the U.S. and India-based Partner Success teams to support pre-sales activities and customer engagement, acting as a subject matter expert in AdTech, MarTech, and DataTech Facilitate communication between product, engineering, marketing, and sales teams to ensure cohesive product strategy and execution Engage with external customers to gather feedback and drive product iterations Data Analysis and Insights: Design and implement client data analysis methodologies, focusing on data-driven decision-making processes relevant to AdTech, MarTech, and DataTech Develop analytics frameworks that leverage data science principles and advanced statistical methods to derive actionable insights for clients Monitor product performance metrics and develop KPIs to assess impact and identify areas for improvement, leveraging A/B testing and experimentation techniques Process Development and Improvement: Establish and refine processes for product management, ensuring repeatability and scalability Lead initiatives to enhance existing workflows, focusing on efficiency and effectiveness in product delivery Create and present progress reports, updates, and presentations to senior management and stakeholders Qualifications  Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field MBA or specialized training in product management or data science is preferred 12 to 20 years of experience in technology product engineering and development, with a minimum of 10 years in product management Proven track record in managing complex products, especially in business intelligence or marketing technology domains Strong proficiency in BI platforms (e.g., Sisense, Tableau, PowerBI, Looker, DOMO) and data visualization tools Deep understanding of cloud platforms (AWS, Snowflake) and experience with database query languages (SQL, NoSQL) Expertise in API development and management, along with knowledge of front-end technologies (AngularJS, ReactJS, Bootstrap) In-depth knowledge of AI and NLP technologies, with experience in applying them to enhance product functionality Strong background in data engineering, including ETL processes, data warehousing, and data pipeline management Must have a strong understanding of digital advertising, including AdTech, MarTech, and DataTech technologies Experience in B2C and B2B SaaS product development, particularly in customer journey mapping and email marketing Strong analytical and problem-solving abilities, with a focus on data-driven outcomes Excellent communication and presentation skills, capable of articulating complex ideas to diverse audiences Collaborative and open-minded, fostering a culture of innovation and accountability High energy and enthusiasm for driving product success in a fast-paced environment Have extensive experience with Atlassian products including JIRA and Confluence Have extensive experience with Product Management and Monitoring Software Must be ready to relocate to Mysuru or Bengaluru Show more Show less

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description In India, we operate as Next Gear India Private Limited, a fully-owned subsidiary of Cotality with offices in Kolkata, West Bengal, and Noida, Uttar Pradesh. Next Gear India Private Limited plays a vital role in Cotality's Product Development capabilities, focusing on creating and delivering innovative solutions for the Property & Casualty (P&C) Insurance and Property Restoration industries. While Next Gear India Private Limited operates under its own registered name in India, we are seamlessly integrated into the Cotality family, sharing the same commitment to innovation, quality, and client success. When you join Next Gear India Private Limited, you become part of the global Cotality team. Together, we shape the future of property insights and analytics, contributing to a smarter and more resilient property ecosystem through cutting-edge technology and insights. Company Description At CoreLogic, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity, and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills, and directly impact the insurance marketplace. We know our people are our greatest asset. At CoreLogic, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property insurance and restoration industry. Description We are seeking a highly skilled Lead Data Analyst to join our Analytics team to serve customers across the property insurance and restoration industries. As a Lead Data Analyst you will play a crucial role in developing methods and models to inform data-driven decision processes resulting in improved business performance for both internal and external stakeholder groups. You will be responsible for interpreting complex data sets and providing valuable insights to enhance the value of data assets. The successful candidate will have a strong understanding of data mining techniques, methods of statistical analysis, and data visualization tools. This position offers an exciting opportunity to work in a dynamic environment, collaborating with cross-functional teams to support decision processes that will guide the respective industries into the future. Responsibilities Collaborate with cross-functional teams to understand and document requirements for analytics products. Serve as the primary point of contact for new data/analytics requests and support for customers. Lead a team of analysts to deliver client deliverables on a timely manner. Act as the domain expert and voice of the customer to internal stakeholders during the analytics development process. Develop and maintain an inventory of data, reporting, and analytic product deliverables for assigned customers. Work with customer success teams to establish and maintain appropriate customer expectations for analytics deliverables. Create and manage tickets on behalf of customers within internal frameworks. Ensure timely delivery of assets to customers and aid in the development of internal processes for the delivery of analytics deliverables. Work with IT/Infrastructure teams to provide customer access to assets and support internal audit processes to ensure data security. Create and optimize complex SQL queries for data extraction, transformation, and aggregation. Develop and maintain data models, dashboards, and reports to visualize data and track key performance metrics. Conduct validation checks and implement error handling mechanisms to ensure data reliability. Collaborate closely with stakeholders to align project goals with business needs and perform ad-hoc analysis to provide actionable recommendations. Analyze large and complex datasets to identify trends, patterns, and insights, and present findings and recommendations to stakeholders in a clear and concise manner Job Qualifications 7+ years’ property insurance experience preferred 5+ years’ experience in management of mid-level professional teams or similar leadership position with a focus on data and/or performance management. Extensive experience in applying and/or developing performance management metrics for claims organizations. Bachelor’s degree in computer science, data science, statistics, or a related field is preferred. Mastery level knowledge of data analysis tools such as Excel, Tableau or Power BI. Demonstrated expertise in Power BI creating reports and dashboards, including the ability to connect to various data sources, prepare and model data, and create visualizations. Expert knowledge of DAX for creating calculated columns and measures to meet report-specific requirements. Expert knowledge of Power Query for importing, transforming, and shaping data. Proficiency in SQL with the ability to write complex queries and optimize performance. Strong knowledge of ETL processes, data pipeline and automation a plus. Proficiency in managing tasks with Jira is an advantage. Strong analytical and problem-solving skills. Excellent attention to detail and the ability to work with large datasets. Effective communication skills, both written and verbal. Excellent visual communications and storytelling with data skills. Ability to work independently and collaborate in a team environment. Cotality's Diversity Commitment Cotality is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences. Equal Opportunity Employer Statement Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, record of offences, age, marital status, family status or disability. Cotality maintains a Drug-Free Workplace. Please apply on our website for consideration. Privacy Policy Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! Click on the quicklinks below to find out more about our company and associates Show more Show less

Job Description Support the day-to-day operations of these GCP-based data pipelines, ensuring data governance, reliability, and performance optimization. Hands-on experience with GCP data services such as Dataflow, BigQuery, Dataproc, Pub/Sub, and real-time streaming architectures is preferred.The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. This role requires a flexible working schedule, including potential weekend support for critical operations, while maintaining a 40-hour work week.The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. A key aspect of the MDLZ Google cloud BigQuery platform is handling the complexity of inbound data, which often does not follow a global design (e.g., variations in channel inventory, customer PoS, hierarchies, distribution, and promo plans). You will assist in ensuring the robust operation of pipelines that translate this varied inbound data into the standardized o9 global design. This also includes man '8+ years of overall industry experience and minimum of 8-10 years of experience building and deploying large scale data processing pipelines in a production environment Focus on excellence: Has practical experience of Data-Driven Approaches, Is familiar with the application of Data Security strategy, Is familiar with well know data engineering tools and platforms Technical depth and breadth : Able to build and operate Data Pipelines, Build and operate Data Storage, Has worked on big data architecture within Distributed Systems. Is familiar with Infrastructure definition and automation in this context. Is aware of adjacent technologies to the ones they have worked on. Can speak to the alternative tech choices to that made on their projects. Implementation and automation of Internal data extraction from SAP BW / HANA Implementation and automation of External data extraction from openly available internet data sources via APIs Data cleaning, curation and enrichment by using Alteryx, SQL, Python, R, PySpark, SparkR Preparing consolidated DataMart for use by Data Scientists and managing SQL Databases Exposing data via Alteryx, SQL Database for consumption in Tableau Data documentation maintenance/update Collaboration and workflow using a version control system (e.g., Git Hub) Learning ability : Is self-reflective, Has a hunger to improve, Has a keen interest to drive their own learning. Applies theoretical knowledge to practice Flexible Working Hours: This role requires the flexibility to work non-traditional hours, including providing support during off-hours or weekends for critical data pipeline job runs, deployments, or incident response, while ensuring the total work commitment remains a 40-hour week. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Data engineering Concepts: Experience in working with data lake, data warehouse, data mart and Implemented ETL/ELT and SCD concepts. ETL or Data integration tool: Experience in Talend is highly desirable. Analytics: Fluent with SQL, PL/SQL and have used analytics tools like Big Query for data analytics Cloud experience: Experienced in GCP services like cloud function, cloud run, data flow, data proc and big query. Data sources: Experience of working with structure data sources like SAP, BW, Flat Files, RDBMS etc. and semi structured data sources like PDF, JSON, XML etc. Programming: Understanding of OOPs concepts and hands-on experience with Python/Java for programming and scripting. Data Processing: Experience in working with any of the Data Processing Platforms like Dataflow, Databricks. Orchestration: Experience in orchestrating/scheduling data pipelines using any of the tools like Airflow and Alteryx Keep our data separated and secure across national boundaries through multiple data centers and Azure regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Skills And Experience Rich experience in working with FMCG industry. Deep knowledge in manipulating, processing, and extracting value from datasets; + 5 years of experience in data engineering, business intelligence, data science, or related field; Proficiency with Programming Languages: SQL, Python, R Spark, PySpark, SparkR, SQL for data processing; Strong project management skills and ability to plan and prioritize work in a fast-paced environment; Experience with: MS Azure Data Factory, MS Azure Data Lake Store, SQL Database, SAP BW/ ECC / HANA, Alteryx, Tableau; Ability to think creatively, highly-driven and self-motivated; Knowledge of SAP BW for HANA (Extractors, Transformations, Modeling aDSOs, Queries, OpenHubs) No Relocation support available Business Unit Summary Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science Show more Show less