• Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns, and actionable insights • Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis • Apply statistical and data-modeling techniques to answer business questions and support decision-making • Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products • Translate stakeholder questions into clearly defined analytical problems, prioritizing work by impact and urgency • Design, build, and maintain Power BI dashboards that serve as the Firm’s primary, everyday reporting tools • Build automated, self-service reports and visualizations in Power BI and Tableau, tailored to different audiences across the Firm • Use data storytelling to deliver client-facing data presentations and executive-level reports that communicate findings clearly to key partners, clients, and other internal and external stakeholders, and drive action • Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information-rich analyses across various media types • Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics • Partner with the Data Engineering team to source, integrate, and validate data from across the Firm • Develop and apply data quality standards to ensure reliable, trustworthy outputs • Document data sources, definitions, and methodologies to support consistency and reuse • Maintain and enhance existing datasets, models, and reporting pipelines • Partner with teams across the Firm; including Finance and client-facing groups to gather requirements and align on objectives • Work directly with internal stakeholders and, where appropriate, clients to understand needs and deliver solutions • Connect analytical findings to business outcomes and Firm priorities • Share knowledge and best practices to elevate data and analytics capabilities across the Firm • Identify opportunities to automate, improve, and scale analytics as the function grows • Contribute to building out the Firm’s enterprise data and analytics capabilities over time • Develop and improve reporting and business intelligence techniques to align the firm with leading-edge information and business intelligence delivery • Engage in research and study to continuously improve the Firm’s reporting and business intelligence.

Role Description The Senior Engagement Strategist, Insights & Analytics turns data into actionable insights that drive smarter marketing decisions. This role leverages analytics, AI-enabled research, and audience intelligence to uncover opportunities, optimize engagement, and guide strategic recommendations across integrated campaigns. - Translate complex marketing data into clear, actionable insights and strategic recommendations. - Leverage AI-enabled research and analytics tools to accelerate insight generation and support strategic decision-making. - Analyze qualitative and quantitative data—including social listening, search behavior, CRM, media performance, and audience research—to identify trends and opportunities. - Develop measurement frameworks, dashboards, KPIs, and reporting that evaluate campaign performance and business impact. - Partner with cross-functional teams to deliver data-driven strategies and present findings to clients and internal stakeholders. Qualifications - 5+ years of experience in marketing analytics, insights, or engagement strategy. - Strong ability to transform data into strategic recommendations. - Experience with AI-powered research and analytics tools. - Knowledge of CRM, social, web, search, media, and audience analytics. - Experience creating dashboards, measurement frameworks, and performance reporting. - Excellent communication and presentation skills. - Healthcare or pharmaceutical agency experience preferred. Company Description

Role Description We are seeking an experienced Technical Support Analyst to join our Customer Support team. This role is dedicated to the management and delivery of customer reporting and data requests for our SaaS platform. The successful candidate will become the technical owner of all Google BigQuery (GBQ) and Metabase requests raised by customers. They will work closely with the Customer Support and Business teams to: - Analyse reporting requirements - Develop SQL queries - Create dashboards - Validate data - Deliver high-quality reporting solutions This is a technical, data-focused role rather than a traditional helpdesk position. We are looking for someone who enjoys working with data, solving analytical problems, and delivering accurate reporting solutions to customers. Responsibilities - Own all customer reporting requests relating to Google BigQuery (GBQ) and Metabase. - Analyse customer reporting requirements and translate them into accurate SQL queries, reports and dashboards. - Develop, maintain and optimise SQL queries to deliver reliable and efficient reporting solutions. - Create, modify and maintain customer dashboards and visualisations in Metabase. - Validate data accuracy and investigate discrepancies to ensure high-quality reporting outputs. - Manage reporting-related support tickets in Freshdesk, ensuring work is completed within agreed SLA targets. - Troubleshoot reporting issues and collaborate with the Development team to resolve product defects where required. - Communicate effectively with the Customer Support team, providing clear updates on request progress and expected delivery times. - Build and maintain reusable SQL queries, report templates and internal documentation to improve efficiency and consistency. - Identify opportunities to automate recurring reporting requests and enhance customer self-service capabilities. - Contribute to the continuous improvement of reporting processes, documentation and knowledge sharing across the support team. - Deliver a high standard of customer service while managing multiple priorities in a fast-paced SaaS environment. Qualifications - Minimum 5 years' professional experience writing and optimising SQL in a production environment. - Expert SQL skills with a strong understanding of relational databases, data modelling and query optimisation. - Experience writing SQL for Google BigQuery or another cloud data warehouse platform. - Experience developing data pipelines and/or ETL jobs. - Experience creating and maintaining reports and dashboards using business intelligence tools (e.g. Metabase, Power BI, Looker Studio or similar). - Strong analytical, troubleshooting and problem-solving skills with excellent attention to detail and data validation. - Metabase administration (permissions, sandboxing, upgrades). - Ability to interpret business requirements and translate them into accurate, efficient reporting solutions. - Experience supporting enterprise SaaS applications or business-critical software platforms. - Fluency in and excellent written English, communication and stakeholder management skills, with the ability to work independently while delivering outstanding customer service. Nice-to-have - Experience with MySQL. - Experience with Google Cloud Dataform. - Experience using Freshdesk or similar service desk platforms. - Familiarity with Jira or similar issue tracking systems. - Regulated-environment experience and data-handling responsibilities. Working Hours - Full-time Contractor. - Monday to Friday. - Working hours aligned to Indian Standard Time (IST). - Remote working. - Regular interaction with colleagues based in Europe, India and North America. Company Description EIDA is a leading provider of innovative software solutions designed to transform how construction and engineering projects are managed. With a global presence and a diverse team spanning multiple countries, we specialise in delivering cutting-edge software that empowers our clients to streamline operations, enhance collaboration, and drive project success. Our mission is to simplify complex workflows, improve efficiency, and ensure project teams achieve their goals with precision and confidence. Join us and be part of a dynamic company shaping the future of the construction industry!

• Own and execute reporting for core SaaS sales KPIs including quota attainment, win/loss rates, average deal size, sales cycle length, pipeline coverage, forecast accuracy, and rep productivity. • Perform ad-hoc analyses to support Sales Leadership and Revenue Operations teams. Translate complex data into clear, compelling visual stories that drive decision-making. • Serve as the go-to analyst for pipeline and forecast reporting — tracking stage-over-stage progression, identifying deal slippage and bottlenecks, and surfacing insights that help sales leadership optimize resource allocation and coaching efforts. • Build and maintain automated data feeds, alerts, and notification workflows within DOMO. Streamline recurring reporting processes to reduce manual effort and improve data freshness.