Description BI Solution Analyst - ThoughtSpot Role Overview As a BI Solution Analyst, you will play a key role in designing, developing, and automating solutions to streamline business processes. You will work on TS configuration, data preparation, problem-solving, and automation, collaborating with stakeholders to improve efficiency through data-driven insights and technical expertise. This role requires a strong analytical mindset, programming skills, and experience in business intelligence and automation tools. You will own end to end set up, development and maintenance of 3 rd party hosted TSE solution. As a ThoughtSpot customer, Acadia will not be able to hire you if you are a current ThoughtSpot employee. What You’ll Do Develop and configure TSA & TSE solutions to meet business needs. Manage TS product configuration and provide expertise in troubleshooting. Prepare, clean, and manage data for reporting, automation, and analytics. Identify and solve technical and business problems using analytical and programming skills. Map use cases and align solutions with business objectives. Design and implement tools and automation to optimize processes. Work with SQL databases, ThoughtSpot, and ETL/ELT pipelines. Integrate APIs and develop scripts for automation and efficiency. Collaborate with Acadia senior leadership, client stakeholders, document technical solutions, and support debugging. Qualifications What You Bring: 2+ years of hands-on experience with ThoughtSpot. ThoughtSpot certification is a plus. Programming expertise in CSS & JavaScript. Experience with API integration and automation frameworks. 2-5 years of experience in a similar role involving data, automation, and solution development. Strong data analysis and visualization skills. Proficiency in SQL and database management. Knowledge of ETL/ELT processes for data transformation. Strong problem-solving and debugging skills. Excellent stakeholder communication and documentation abilities. UI development experience is a plus. Self-starter, outstanding listener, great presenter, terrific interpersonal and communication skills.
Description We are seeking a detail-oriented QA Analyst – Embedded Analytics & Web Portal to join our team. This role is responsible for ensuring the quality, reliability, and usability of our data, dashboards, dashboard functionality, user access controls, and the overall web portal experience. You will collaborate closely with developers, data engineers, and business stakeholders to deliver a seamless, high-quality analytics platform. Location: India (remote) Work Timings: 4 AM - 1 PM EST Key Responsibilities Develop and execute manual and automated test plans for data validation, dashboard functionality, and web portal features. Review and analyze software and system specifications to ensure requirements are met. Test and validate data accuracy and consistency within dashboards and underlying data sources. Verify user access, permissions, and security configurations across the analytics platform and web portal. Evaluate and report on the usability and functionality of embedded dashboards within the web portal. Detect, document, and track defects; collaborate with development teams to troubleshoot and resolve issues. Conduct regression, integration, and end-to-end testing for new features and releases. Ensure cross-browser and cross-device compatibility for the web portal. Maintain comprehensive test documentation, including test cases, scripts, and results. Provide clear, concise reports on QA activities and outcomes to stakeholders. Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field. 3+ years of experience in QA testing for web applications and/or analytics platforms. Experience with data validation, BI/analytics tools (preferably ThoughtSpot), and web portal testing. Exposure to Agile development and QA processes Strong analytical, problem-solving, and troubleshooting skills. Excellent attention to detail and documentation abilities. Effective verbal and written communication skills. Experience with user access and security testing is a plus. This role is critical to delivering a robust, secure, and user-friendly analytics experience for our organization. If you are passionate about quality and enjoy working at the intersection of data, analytics, and web technology, we encourage you to apply. Show more Show less
Job Duties Develop and/or lead the development of Media Mix Models. Demonstrate command of all data sources and variables used within a model. Demonstrate an understanding of data source types that utilize different nomenclatures but represent similar concepts. Possesses a solid understanding of the key media channels and their execution. Independently integrate data into PowerPoint decks and build both standard and customized visualizations and slides. Identify and resolve quality control issues. Work with client and internal teams to translate data and model results into tactical and strategic insights that are complete, accurate, relevant, understandable and applicable to client businesses and needs. Present to and work with clients to integrate recommendations into business processes. Effectively work with clients to diagnose solutions to key organizational challenges and develop value-based roadmaps that support the application of MMX to solve client business issues on a continuous and repeatable basis Work closely with internal Acadia management and teams to scope, deliver and successfully implement client solutions. Work with our data scientists to provide coaching, training, mentoring, inspiration and developmental guidance for their careers in a manner that supports team and company growth and profitability. Work with team and operations to maximize project delivery quality, timeliness and efficiencies in order to deliver high-value and relevant insights to our clients as quickly and effectively as possible Work Timings : 2 PM - 11 PM IST/ 4:30 AM - 1:30 PM EST Qualifications : 5+ years’ of experience and hands-on working knowledge of Media Mix Modelling Has a deep knowledge of the methodologies and processes employed by MMX and can communicate them effectively. Has experience and hands-on working knowledge of Machine Learning tools and platforms 5+ years’ experience of proven leadership in analytics and in working with cross-functional internal and client teams. A broad understanding of core and emerging analytics methods and approaches and how they can be deployed to drive value within and across client organizations, with primary focus areas including marketing mix modelling, customer attribution, pricing and promotion, brand equity management and/or forecasting. A strong understanding of both media and emerging media and applicable analytics is essential Ability to work collaboratively and in partnership with senior team executives and the analytics team to produce cohesive, well-thought out, value-based presentations for clients. A diverse mix of data management and analytic vertical experience, including a mix of retail, insurance, restaurant, durable goods, B2B, and CPG is preferred. Outstanding work ethic, passion for the business and team and a mental flexibility to help design and develop the right practical solution in order to create high-value deliverables in a timely, accurate and complete manner for our clients. Experience and/or ability to lead projects and take full responsibility for the projects. Bachelors Degree in related field, Masters preferred
Description Job Duties Develop and/or lead the development of Media Mix Models. Demonstrate command of all data sources and variables used within a model. Demonstrate an understanding of data source types that utilize different nomenclatures but represent similar concepts. Possesses a solid understanding of the key media channels and their execution. Independently integrate data into PowerPoint decks and build both standard and customized visualizations and slides. Identify and resolve quality control issues. Work with client and internal teams to translate data and model results into tactical and strategic insights that are complete, accurate, relevant, understandable and applicable to client businesses and needs. Present to and work with clients to integrate recommendations into business processes. Effectively work with clients to diagnose solutions to key organizational challenges and develop value-based roadmaps that support the application of MMX to solve client business issues on a continuous and repeatable basis Work closely with internal Acadia management and teams to scope, deliver and successfully implement client solutions. Work with our data scientists to provide coaching, training, mentoring, inspiration and developmental guidance for their careers in a manner that supports team and company growth and profitability. Work with team and operations to maximize project delivery quality, timeliness and efficiencies in order to deliver high-value and relevant insights to our clients as quickly and effectively as possible. Qualifications Qualifications : 5+ years’ of experience and hands-on working knowledge of Media Mix Modelling Has a deep knowledge of the methodologies and processes employed by MMX and can communicate them effectively. Has experience and hands-on working knowledge of Machine Learning tools and platforms 5+ years’ experience of proven leadership in analytics and in working with cross-functional internal and client teams. A broad understanding of core and emerging analytics methods and approaches and how they can be deployed to drive value within and across client organizations, with primary focus areas including marketing mix modelling, customer attribution, pricing and promotion, brand equity management and/or forecasting. A strong understanding of both media and emerging media and applicable analytics is essential Ability to work collaboratively and in partnership with senior team executives and the analytics team to produce cohesive, well-thought out, value-based presentations for clients. A diverse mix of data management and analytic vertical experience, including a mix of retail, insurance, restaurant, durable goods, B2B, and CPG is preferred. Outstanding work ethic, passion for the business and team and a mental flexibility to help design and develop the right practical solution in order to create high-value deliverables in a timely, accurate and complete manner for our clients. Experience and/or ability to lead projects and take full responsibility for the projects. Bachelors Degree in related field, Masters preferred
Description Job Duties Develop and/or lead the development of Media Mix Models. Demonstrate command of all data sources and variables used within a model. Demonstrate an understanding of data source types that utilize different nomenclatures but represent similar concepts. Possesses a solid understanding of the key media channels and their execution. Independently integrate data into PowerPoint decks and build both standard and customized visualizations and slides. Identify and resolve quality control issues. Work with client and internal teams to translate data and model results into tactical and strategic insights that are complete, accurate, relevant, understandable and applicable to client businesses and needs. Present to and work with clients to integrate recommendations into business processes. Effectively work with clients to diagnose solutions to key organizational challenges and develop value-based roadmaps that support the application of MMX to solve client business issues on a continuous and repeatable basis Work closely with internal Acadia management and teams to scope, deliver and successfully implement client solutions. Work with our data scientists to provide coaching, training, mentoring, inspiration and developmental guidance for their careers in a manner that supports team and company growth and profitability. Work with team and operations to maximize project delivery quality, timeliness and efficiencies in order to deliver high-value and relevant insights to our clients as quickly and effectively as possible. Qualifications Qualifications : 5+ years’ of experience and hands-on working knowledge of Media Mix Modelling Has a deep knowledge of the methodologies and processes employed by MMX and can communicate them effectively. Has experience and hands-on working knowledge of Machine Learning tools and platforms 5+ years’ experience of proven leadership in analytics and in working with cross-functional internal and client teams. A broad understanding of core and emerging analytics methods and approaches and how they can be deployed to drive value within and across client organizations, with primary focus areas including marketing mix modelling, customer attribution, pricing and promotion, brand equity management and/or forecasting. A strong understanding of both media and emerging media and applicable analytics is essential Ability to work collaboratively and in partnership with senior team executives and the analytics team to produce cohesive, well-thought out, value-based presentations for clients. A diverse mix of data management and analytic vertical experience, including a mix of retail, insurance, restaurant, durable goods, B2B, and CPG is preferred. Outstanding work ethic, passion for the business and team and a mental flexibility to help design and develop the right practical solution in order to create high-value deliverables in a timely, accurate and complete manner for our clients. Experience and/or ability to lead projects and take full responsibility for the projects. Bachelors Degree in related field, Masters preferred
Description Job Duties Develop and/or lead the development of Media Mix Models. Demonstrate command of all data sources and variables used within a model. Demonstrate an understanding of data source types that utilize different nomenclatures but represent similar concepts. Possesses a solid understanding of the key media channels and their execution. Independently integrate data into PowerPoint decks and build both standard and customized visualizations and slides. Identify and resolve quality control issues. Work with client and internal teams to translate data and model results into tactical and strategic insights that are complete, accurate, relevant, understandable and applicable to client businesses and needs. Present to and work with clients to integrate recommendations into business processes. Effectively work with clients to diagnose solutions to key organizational challenges and develop value-based roadmaps that support the application of MMX to solve client business issues on a continuous and repeatable basis Work closely with internal Acadia management and teams to scope, deliver and successfully implement client solutions. Work with our data scientists to provide coaching, training, mentoring, inspiration and developmental guidance for their careers in a manner that supports team and company growth and profitability. Work with team and operations to maximize project delivery quality, timeliness and efficiencies in order to deliver high-value and relevant insights to our clients as quickly and effectively as possible. Qualifications Qualifications : 5+ years’ of experience and hands-on working knowledge of Media Mix Modelling Has a deep knowledge of the methodologies and processes employed by MMX and can communicate them effectively. Has experience and hands-on working knowledge of Machine Learning tools and platforms 5+ years’ experience of proven leadership in analytics and in working with cross-functional internal and client teams. A broad understanding of core and emerging analytics methods and approaches and how they can be deployed to drive value within and across client organizations, with primary focus areas including marketing mix modelling, customer attribution, pricing and promotion, brand equity management and/or forecasting. A strong understanding of both media and emerging media and applicable analytics is essential Ability to work collaboratively and in partnership with senior team executives and the analytics team to produce cohesive, well-thought out, value-based presentations for clients. A diverse mix of data management and analytic vertical experience, including a mix of retail, insurance, restaurant, durable goods, B2B, and CPG is preferred. Outstanding work ethic, passion for the business and team and a mental flexibility to help design and develop the right practical solution in order to create high-value deliverables in a timely, accurate and complete manner for our clients. Experience and/or ability to lead projects and take full responsibility for the projects. Bachelors Degree in related field, Masters preferred
Description Digital Measurement Analyst Location: India (Remote) India Work Timings: Mar - Oct 1:30 PM - 10:30 PM IST/ Nov - Feb 2:30 PM - 11:30 PM IST Overview The Digital Measurement Analyst will play a hands-on role in implementing, testing, and maintaining advanced digital tracking solutions across a portfolio of clients. This position supports the agency’s growing measurement practice, ensuring accurate, privacy-compliant data collection and actionable insights across GA4, media platforms, and server-side environments. The ideal candidate is highly detail-oriented, thrives on solving tracking challenges, and brings a mix of technical skill and curiosity to continuously improve tagging infrastructure and QA processes. Core Responsibilities Digital Measurement Implementation & Configuration Build and maintain robust GA4 and GTM implementations across web properties, including event design, configuration, and parameter mapping. Translate measurement strategies into accurate technical executions for GA4, Google Ads, Meta, and other key platforms. Implement eCommerce schemas, custom dimensions/metrics, and cross-domain measurement to support full-funnel tracking and reporting. QA, Testing & Documentation Conduct end-to-end QA across GA4 and GTM setups, using preview/debug tools, browser console tools and records, and validation scripts to ensure accuracy and reliability of event data. Maintain detailed implementation documentation (data layer specs, tag inventories, change logs). Monitor live environments and flag discrepancies between GA4, ad platforms, and CRM data. Reporting & Measurement Support Assist in building GA4 explorations and Looker Studio dashboards to validate data and provide measurement QA dashboards. Collaborate with the Analytics Account Manager to ensure clean data delivery for client reporting and insights. Contribute to internal best practices and templates for tracking consistency and efficiency. Qualifications Qualifications 3+ years of analytics implementation experience, ideally in an agency or multi-client environment. Proven success designing, implementing, and validating GA4 tracking frameworks across multiple verticals (B2B and B2C/retail). Strong understanding of GTM beyond the basics — including variables, triggers, dataLayer usage, and debugging. Familiarity with media conversion tagging (Google Ads, Meta, CM360) strongly encouraged. Exposure to server-side tagging (sGTM) or Meta CAPI is a plus but not required. Excellent attention to detail, with a QA-first mindset and a commitment to clear documentation. Comfort working collaboratively with technical and non-technical stakeholders. Why This Role Matters This role is critical to scaling our digital measurement capabilities. You’ll be the backbone of accurate, trustworthy GA4 and GTM data pipelines that drive cross-channel attribution, campaign optimization, and strategic insight — helping our clients and our agency make smarter decisions every day.
Description Job Details Job Designation Acadia Analytics Intern Job Location India - India, State/Province Remote Type - Fully Remote Description We are offering an opportunity to join Acadia as an intern for 6 months, understand the work, the culture, learn Analytics for a big clientele, all while being in a nimble fast paced cutting-edge agency. After completion of the 6 months, based on the performance, you may be offered to join us as a full-time employee and thereafter help us build our brand and grow as an Analytics professional. Full Time Conversion (Based on internship performance, can be hired for permanent position as Associate Consumer Data Analyst post internship) Duration: 6 months Remuneration: INR 30,000/month during internship. If hired permanently, remuneration will depend on internship performance. Approximate Work timings : 2:30 PM - 11:30 PM IST Qualifications Qualifications Strong Analytical & Problem-solving skills and has a strong desire to independently learn and develop. Proficiency in SQL/Snowflake, MS Excel/Google Sheets, MS PowerPoint/Google Slides Proficiency in Tableau/PowerBI/Thoughtspot/Looker or any other Dashboarding Tool 0-2 Years of Work Experience in some form of Analytical Discipline or enough projects with substantial work depicting Analytical process Bachelor’s degree in Engineering, Mathematics or similar quantitative field
Description We are offering an opportunity to join Acadia as an intern for 4 months , understand the work, the culture, learn Analytics for a big clientele, all while being in a nimble fast paced cutting-edge agency. After completion of the 4 months, based on the performance, you may be offered to join us as a long-term contractor and thereafter help us build our brand and grow as an Analytics professional. Post-graduation internship (Based on internship performance, can be hired for permanent position as Associate Data Analyst post internship) Duration: 4 months Remuneration: INR 30,000/month during internship. If hired permanently, remuneration will depend on internship performance. Approximate Work timings Month 1: 12 PM – 9 PM IST Month 2: 1 PM – 10 PM IST Month 3: 2 PM – 11 PM IST Month 4: 3 PM – 12 AM IST If hired permanently: 3 PM – 12 AM IST Qualifications Please submit you resume in English. Strong Analytical & Problem-solving skills and has a strong desire to independently learn and develop. Proficiency in MS Excel/Google Sheets, MS Powerpoint/Google Slides, SQL and any dashboarding tool 0-2 Years of Work Experience in some form of Analytical Discipline or enough projects with substantial work depicting Analytical process Bachelors degree in Engineering, Mathematics or similar quantitative field
Description About This Role Paid Internship Duration: 6 months Location: India Remote (must be able to work until ~11:30 p.m. IST) As an Account Coordinator Intern on Acadia’s Analytics team , you will support both internal and client-related initiatives, helping keep projects organized, documented, and moving forward across a variety of teams. You’ll work closely with account managers, analysts, data developers, and team leads to support project workflows and ensure that deliverables and action items stay on track. This role requires someone who is proactive, organized, and confident working independently – especially since you’ll be partnering with a U.S.-based team across time zones. You will have meaningful ownership of tasks and will be trusted to keep work progressing asynchronously and independently. Responsibilities Key Responsibilities Project & Initiative Support: Support internal and client-related projects by organizing documentation, updating trackers, preparing materials, and helping move tasks forward across teams. Cross-Team Coordination: Connect across multiple people and teams to gather updates, clarify next steps, and keep workstreams aligned. Slide & Deck Production: Format, polish, and QA presentation materials – improving structure, fixing grammar, and ensuring all slides meet quality standards. Quality Assurance: Review deliverables for accuracy, consistency, and clarity before internal review or client sharing. Independent Work & Decision-Making: Work autonomously in a global remote environment, using judgment to keep tasks progressing and escalating only when needed. Ownership & Accountability: Take accountability for assigned tasks from start to finish, proactively communicating status and meeting deadlines. Qualifications Strong organizational and multitasking skills Strong written and verbal English communication Proficient PowerPoint/Google Slides skills; ability to improve design, layout, and clarity Strong attention to detail, especially in quality assurance and written reviews Clear communicator who is comfortable following up with team members and managing workflows Ability to work independently and proactively across time zones Interest in marketing analytics, account coordination, or project management Familiarity with Google Workspace and project management tools is a plus Must be able to work until approximately 11:30 p.m. Indian Standard Time
Description AI Automation Engineer Location: Remote, India Team: Technology and Innovation About Acadia Acadia is a data, media, and technology-driven digital agency focused on helping brands achieve faster growth. Our expertise spans performance marketing, analytics, creative services, and retail media, all fueled by a culture of curiosity and continuous innovation. Technology and Innovation are key focus areas to significantly accelerate the practical application of advanced AI across the company. This team's mission is to build scalable AI agents and automations that deliver tangible business impact and make Acadia smarter, faster, and more creative, moving beyond mere experiments and prototypes. The Role We are seeking an AI Automation Engineer based in India to join our global Technology and Innovation team. This is a highly hands-on role where you will be responsible for designing and building AI-driven workflows and intelligent agents. You will leverage orchestration tools like n8n and LangChain , alongside OpenAI GPT models , to automate complex processes for Acadia’s analytics, retail, media, and creative teams. This is a role focused on practical AI, solving real business problems and delivering immediately usable tools for internal teams and clients, rather than traditional data science. Key Responsibilities Design and deploy AI agents and automations to streamline workflows across all areas of the business. Familiarity with major enterprise AI platforms, including OpenAI, Google Vertex AI, Microsoft Azure AI, and Anthropic Claude. Connect Large Language Models (LLMs) to various business systems using APIs, webhooks, and orchestration platforms such as n8n or LangChain . Develop and test novel AI use cases, ranging from auditing Amazon product detail pages for "AI readiness" to identifying creative fatigue in media data. Experiment with emerging generative AI tools like Veo 3 to enable creative generation. Collaborate with global teams to pinpoint automation opportunities and build scalable prototypes. Own the full lifecycle of AI automations - from ideation to deployment and iterative improvement. Document and share insights to drive the broader adoption of AI throughout Acadia. Qualifications What We're Looking For 2-5 years of experience in building automations, integrations, or AI-powered workflows. Proven proficiency with n8n , LangChain , or similar workflow/agent frameworks. Working knowledge of Python for scripting and API integration. Strong foundational understanding of REST APIs , webhooks , and JSON . Experience in connecting LLMs to real-world tools and data sources. Experience deploying automations in a production environment A naturally curious and comfortable approach to rapid experimentation in a dynamic field. Ability to share at least two proof points of your work where you directly drove AI based, automation to improve an organization, a process, or even a homegrown experiment. Bonus Points for Experience in: Digital media or analytics data (e.g., GA4, Meta, Amazon). Consulting/Agency experience (building solutions for clients) Familiarity with Markdown for creating and formatting AI generated outputs Creative automation or generative AI tools. Why Join Acadia? Work on cutting-edge AI use cases that translate directly into measurable business impact. Be part of a small, global innovation team with high visibility across the entire company. Collaborate closely with experts in media, analytics, and creative disciplines. Enjoy a flexible, remote-first culture that encourages strong cross-regional collaboration. Gain the opportunity to significantly influence Acadia’s AI roadmap and grow within a fast-scaling agency.