Job Title: Web Developer with CRM Expertise Department: Technology Services Reports To: Technology Manager Shift Time: 5PM onwards Job Summary: We are seeking a skilled and detail-oriented Web Developer with CRM experience to join our technology team. In this role, you will be responsible for designing, coding, and modifying websites, from layout to function, according to client specifications. A core part of this position includes developing and maintaining CRM integrations, optimizing workflows, and supporting marketing and sales automation efforts. Key Responsibilities: Develop and maintain dynamic, responsive websites using HTML, CSS, JavaScript, and related frameworks. Supporting client sitelets and managing the relationship with the vendor. Integrate front-end and back-end components with CRM platforms (e.g., Salesforce, HubSpot, Zoho, Microsoft Dynamics). Customize and extend CRM systems to enhance lead generation, customer engagement, and reporting. Collaborate with marketing and sales teams to automate processes through CRM workflows and web forms. Ensure all web applications are optimized for speed, scalability, and user experience. Implement and maintain API connections between the website and third-party tools/platforms. Track, analyze, and report on website and CRM performance metrics. Troubleshoot and debug issues promptly, ensuring high availability and security of digital assets. Stay up to date with emerging web development technologies and CRM innovations. Required Qualifications: Bachelors degree in Computer Science, Web Development, or a related field (or equivalent experience). 3+ years of experience in web development with proven experience working with CRM platforms. Proficiency in modern web technologies: HTML5, CSS3, JavaScript (React, Angular, or Vue.js), PHP or Python. Hands-on experience with one or more CRM systems such as Salesforce, HubSpot, Zoho, or Microsoft Dynamics. Familiarity with RESTful APIs and web services integration. Experience with C MS platforms (e.g., WordPress, Drupal) and version control tools (e.g., Git) . Strong understanding of UX/UI principles, SEO best practices, and responsive design. Excellent problem-solving skills and the ability to work independently or as part of a team. Preferred Qualifications: CRM certification (e.g., Salesforce Certified Developer or HubSpot CMS Developer). Experience with database technologies (MySQL, MongoDB, Kubernetes). Working knowledge of marketing automation tools and strategies ( Google Tag Manager, Zoom Info ). Understanding of data privacy regulations and security best practices.
Job Title: Accounting Specialist Mumbai, Full Time Summary: We are looking for a Senior Accounting and Project Management Specialist with 4-5 years of experience in nance. This role focuses on managing Accounts Payable (AP), Accounts Receivable (AR), nancial statement analysis, and project management, all while leveraging automation to streamline processes and enhance eiciency. Key Responsibilities: 1. Accounts Payable (AP) & Accounts Receivable (AR): Accounts Payable Management: Oversee the processing of vendor invoices, ensuring that they are accurate, properly approved, and paid in a timely manner. Accounts Receivable Management: Manage the accounts receivable process, ensuring timely invoicing, monitoring of outstanding invoices, and eective collection eorts. ¢ Reconciliation: Regularly reconcile AP/AR accounts and resolve any discrepancies. 2. Financial Statements & Reporting: ¢ ¢ ¢ Assist in the preparation of nancial statements (Income Statement, Balance Sheet, Cash Flow) and ensure that they comply with accounting standards. Conduct nancial analysis to interpret nancial data, identify trends, and provide insights to senior management for decision-making. Support month-end and year-end closing processes, ensuring that all transactions are accurately recorded, and nancial statements are prepared in a timely manner. 3. Automation of Accounting Processes: ¢ Identify opportunities to automate nancial tasks (e.g., AP/AR reporting, invoicing, reconciliations) to improve eiciency and reduce manual errors. ¢ Develop and implement automated solutions using tools such as Excel macros, RPA (Robotic Process Automation), or other relevant software to streamline daily operations. 4. Project Management: ¢ Lead nance-related projects, such as system implementation, process improvements, or new reporting frameworks, from concept through implementation. ¢ ¢ Collaborate with cross-functional teams to manage project timelines, resources, and ensure that nancial processes are optimized. Ensure all nancial systems or process improvements are well-documented and aligned with company objectives. 5. Vendor & Client Interaction: ¢ ¢ ¢ Maintain strong relationships with vendors, addressing inquiries or issues related to payments and invoices in a professional and timely manner. Act as the primary point of contact for clients regarding billing issues, payment schedules, and account discrepancies. Resolve client disputes or concerns, ensuring that all interactions are handled with professionalism, care, and eiciency. Qualications: ¢ ¢ ¢ Education: Bachelors degree in accounting, Finance, Business Administration, or a related eld. Experience: 4-5 years of hands-on experience in nance, with a focus on Accounts Payable (AP), Accounts Receivable (AR), and nancial statement preparation. Technical Skills: o o Advanced prociency in Microsoft Excel Strong understanding of nancial statements (Income Statement, Balance Sheet, Cash Flow). o o Experience with accounting software (Zoho Books, SAP). Familiarity with automation tools (RPA, macros, or other software) to streamline nancial processes.
Job Description: Data Insights Analyst Shift Timing: 5PM to 2AM Job Overview: We're looking for a detail-oriented Data Insights Analyst to transform complex data into clear, actionable insights. Youll work closely with cross-functional teams to analyze trends, identify opportunities, and support strategic decision-making through data storytelling and visualizations. Key Responsibilities: Collect, clean, and analyze large datasets to uncover trends and insights. Design and build dashboards and reports using tools like Tableau, Power BI, or Looker. Collaborate with business stakeholders to understand their data needs and translate them into actionable analysis. Identify KPIs, track performance, and provide recommendations for improvement. Perform ad hoc analysis to support product, marketing, sales, and operations teams. Use statistical techniques to test hypotheses and validate insights. Communicate findings clearly through visualizations, presentations, and reports. Help promote a data-driven culture across the organization. Skills & Qualifications: • Bachelor's degree in Data Science, Statistics, Business Analytics, or a related field. • 3+ years of experience in a data insight, business intelligence, or data analyst role. • Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI, Looker). • Experience with data analysis tools/languages (e.g., Python, R, Excel). • Strong analytical thinking and problem-solving skills. • Ability to present complex data clearly to non-technical audiences. • Knowledge of A/B testing, cohort analysis, and customer segmentation is a plus.
Job Title: BI Developer Location: Mumbai, India Department: Data and AI Reports To: SVP-Data and AI About NeuIQ NeuIQ is a new-age technology services firm specializing in solving enterprise business transformation and experience challenges through cutting-edge, AI-powered data and technology solutions. At the core of our vision is building a scalable and profitable technology implementation business with data engineering as its foundation. Our expertise lies in implementing enterprise SaaS platforms such as Qualtrics, ServiceNow, Snowflake, and Databricks, enabling organizations to unlock actionable insights and maximize the value of their AI and technology investments. With innovation, integrity, and a future-ready mindset, NeuIQ is committed to empowering enterprises to stay relevant, impactful, and ahead in todays dynamic landscape. Role overview: We are seeking a highly skilled and motivated Power BI Developer to join our analytics team. The ideal candidate will have 4–6 years of hands-on experience in designing, developing, and deploying Power BI solutions. You will be responsible for transforming raw data into actionable insights through interactive dashboards and reports, ensuring secure and scalable data access. Experience: 4-6 years of experience Key Responsibilities: Develop and maintain Power Query (M) scripts for data transformation and ingestion. Integrate data from multiple sources including SQL Server, Excel, APIs, cloud platforms (Azure, AWS), and third-party connectors. Configure and manage Power BI Gateways for scheduled data refreshes. Implement Row-Level Security (RLS) to ensure secure data access. Publish and manage reports in Power BI Service, including workspace management and app deployment. Collaborate with business stakeholders to gather requirements and translate them into technical solutions. Create wireframes and mockups using Figma, Miro or similar tools to visualize dashboard layouts and user journeys. Optimize performance of reports and datasets. Stay updated with the latest Power BI features and best practices. Key Skills: Strong proficiency in DAX and Power Query (M) Experience with data modelling, star/snowflake schemas, and normalization. Hands-on experience with Power BI Service, including dashboard publishing and workspace management. Strong Understanding of Power BI Gateways and data refresh scheduling. Hands-on experience implementing Row-Level Security (RLS). Familiarity with data ingestion from various sources (SQL, Excel, REST APIs, cloud storage). Experience in wireframing tools like Miro, Figma, or Balsamiq. Understanding of version control and deployment pipelines (Dev/Test/Prod). Excellent problem-solving and communication skills. Microsoft Certified: Power BI Data Analyst Associate (PL-300) or equivalent. Exposure to embedding Power BI dashboards into external platforms (e.g., web apps, SharePoint). Why NeuIQ: Culture of Innovation: Join a team that values creativity, experimentation, and disruption in the tech industry. Growth Opportunities: NeuIQ is committed to helping our team members grow their skills and careers through learning and development. Work-Life Balance: Flexible work options, including [remote/hybrid/on-site], ensuring you can thrive both personally and professionally. Diversity and Inclusion: At NeuIQ, we celebrate differences and foster a culture where everyone feels valued and heard. Equal Opportunity Employer Statement: NeuIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.
Role & responsibilities Analyze structured and unstructured survey data to extract trends, patterns, and key insights related to customer experience, satisfaction, and behavior. Review and interpret open-ended (verbatim) responses, identify key themes, and assess sentiment using manual and automated methods. Support Quantitative Research and VoC/CX programs by creating cross-tab reports, dashboards, and insights summaries. Work closely with Consumer Insights, Marketing, Product, and Experience teams to translate data into business narratives. Design and deliver visually compelling PowerPoint presentations highlighting findings, pain points, and strategic recommendations. Present insights to senior stakeholders in a clear, confident, and consultative manner. Collaborate with stakeholders to understand business questions and align analysis to their objectives. Maintain quality standards in data cleaning, validation, and integrity across survey datasets. Continuously explore new methods, tools, and frameworks to improve insight generation. Use statistical techniques to support advanced analysis, including regression, factor analysis, or segmentation. Preferred candidate profile Bachelors or Master’s degree in Statistics, Economics, Market Research, Business Analytics, Psychology, or related fields. 7+ years of experience in Quantitative Research, Customer Insights, VoC programs, or CX analytics. Strong analytical skills and comfort with large datasets derived from surveys or feedback platforms (e.g., Qualtrics, Medallia, SurveyMonkey, etc.). Proven ability to interpret data and translate it into insightful, business-relevant stories. Familiarity with open-end verbatim analysis, sentiment tagging, and theme identification. Excellent skills in Microsoft PowerPoint – ability to create compelling insights decks. Proficient in Excel or Google Sheets for data analysis and tabulations. Strong presentation and communication skills – must be able to deliver insights to leadership-level stakeholders. High attention to detail and commitment to accuracy and data quality. Knowledge of basic statistics or tools like SPSS, R, or Python
Role & responsibilities As a Senior Data Processing Analyst, you will play a critical role in transforming raw data into accurate, insightful datasets and tabulations that drive decision-making for our clients. You will work with industry-standard platforms such as Quantum, SPSS, R, and other tabulation/analytics tools, ensuring timely and error-free deliverables.This role is ideal for someone who not only has strong technical expertise but also a learning mindsetsomeone who constantly looks for smarter, more efficient ways to perform traditional data processing tasks and is eager to enhance their skills in a rapidly evolving research ecosystem. Key Responsibilities: • Program and process survey data using Quantum, SPSS, and similar tabulation/analytics software. • Create, validate, and deliver cross-tabulation reports and custom data outputs as per client specifications. • Conduct detailed quality checks to ensure accuracy and consistency of deliverables. • Collaborate with survey programming, project management, and analytics teams to align on project requirements and timelines. • Automate repetitive tasks and explore process improvements to enhance efficiency and reduce turnaround times. • Mentor junior analysts in best practices for data processing, coding, and tabulation. • Stay updated with new technologies, tools, and methodologies to continuously improve workflows and add value to client deliverables. • Design and document both functional and technical requirements while effectively scoping projects by understanding timelines and deliverables. • Monitor and track progress to ensure the timely execution of all programs and projects. • Continuously enhance product knowledge and stay updated on emerging technologies to maintain a competitive edge. • Act as a key driver of relationship growth with clients by delivering value and fostering long-term partnerships. Preferred candidate profile Bachelors or Master’s degree in Statistics, Computer Science, Market Research, or related fields. • 3–5 years of experience in data processing within the market research industry. Proven track record of delivering high-quality outputs in tight timelines
Role Overview: We are seeking a research-focused, client-oriented Data Analyst to join NeuIQs Insights & Experience team. The ideal candidate will analyze survey and feedback data to generate actionable customer insights, and translate findings into compelling stories for clients and internal stakeholders. This role involves both research analysis and direct client interaction , including presentations and calls. Key Responsibilities: Conduct in-depth research on structured and unstructured survey datasets to identify trends, patterns, and customer insights. Analyze open-ended (verbatim) responses, tag sentiment, and highlight key themes to support research conclusions. Prepare and deliver client-ready reports, dashboards, and presentations that translate data into strategic recommendations. Participate in client calls and meetings to present findings, answer queries, and provide consultative insights. Collaborate with internal teams (Consumer Insights, Marketing, Product, and Experience) to ensure research aligns with business objectives. Maintain data integrity through rigorous cleaning, validation, and quality checks. Apply statistical techniques (e.g., regression, segmentation, factor analysis) to support research insights. Explore new methods, tools, and frameworks to enhance insight generation and client reporting. Key Skills & Qualifications: Bachelor’s or Master’s in Statistics, Market Research, Business Analytics, Psychology, or related fields. 7+ years’ experience in quantitative research, customer insights, VoC, or CX analytics. Strong analytical skills with experience handling large survey datasets. Proficient in data visualization, PowerPoint, Excel/Google Sheets , and statistical tools (SPSS, R, or Python). Skilled in preparing and delivering client presentations and insights calls . Ability to interpret complex data into actionable recommendations for clients. High attention to detail, accuracy, and data quality. Strong communication and stakeholder management skills.
Role & responsibilities This role is responsible for end-to-end delivery of quantitative research projects coordinate study setup, survey programming and QC, field / panel management, tabulation handoff, and client communications — ensuring projects meet scope, timeline, quality and budget targets. Key Responsibilities: Manage day-to-day delivery of multiple quantitative studies (tracker, ad tests, product tests, U&A, segmentation), ensuring on-time, on-spec delivery. Act as single point of contact for clients and internal stakeholders; run client calls, manage expectations, and handle change requests. Coordinate with survey programmers and QA teams to implement questionnaires in Confirmit/ConfirmIT, Decipher, IOM (or equivalents); ensure correct routing, quotas, and device compatibility. Oversee soft launch / pilot, monitor field progress and resolve field issues (panels, incentive, sample quality), escalate as required. Validate incoming data deliverables, review tabulations, liaise with analytics / tabulation teams for clean datasets and cross-tabs. Drive process improvements and automation for recurring tasks (templates, checklists, reporting automation) and maintain project documentation (SOWs, timelines, runbooks). Support resource allocation, vendor negotiation and budget tracking for individual projects. Preferred candidate profile Bachelor's/ Master’s degree in Economics, Marketing, Mathematics, or Computer Science. MBA/PGDM in Marketing, Market Research, Business Analytics, or Operations Management. Covers programming, scripting, logic, and database concepts that are useful for survey programming. 3–7 years in market research operations, survey programming coordination, data processing, or tabulation project management. Exposure to survey scripting platforms (ConfirmIT, Decipher, IOM) Hands-on involvement in client/stakeholder management, timelines, budgets, and QC protocols.
Role & responsibilities This role is responsible for program, QA and launch quantitative online surveys across global market-research projects using platforms such as Qualtrics and IOM . You will translate questionnaires into accurate, device-friendly survey builds, implement complex logic/quotas, troubleshoot integrations (panels, APIs), and support data exports and delivery to analysts. Key Responsibilities: Program online and mobile surveys from detailed questionnaires and specifications; manage multiple languages and translations Implement complex skip logic, branching, piping, randomized blocks, quotas and soft/hard quota management Build and test sample/frame integrations, redirects, and panel/API calls (including URL parameters, tokens, tracking) Run thorough QA: device and browser testing, edge-case scenarios, data validation, and post-launch fixes Produce clear change logs, documentation and handoffs for project managers and data processing teams Support scripting/customization using JavaScript/HTML/CSS/XML within survey platforms for bespoke question types, timers, and client-requested behavior Optimize survey performance and UX (load times, mobile layout, progress flows); advise on questionnaire feasibility and survey design best practices Preferred candidate profile Bachelor's degree Computer Science, Information Technology, or Software Engineering Covers programming, scripting, logic, and database concepts that are useful for survey programming 3-7 years' relevant experience in programming surveys in a market-research environment (agency or client side) Strong hands-on experience with Qualtrics ; familiarity with IOM or similar MR platforms Strong scripting skills: JavaScript for in-survey custom logic; comfortable with HTML/CSS and working with XML/CSV exports. Solid understanding of quotas, weighting, routing, randomization, and offline data handling Proven QA discipline: test plans, bug tracking, regression testing, cross-browser/device testing Good communication able to interpret questionnaire specs, liaise with PMs, translators and analysts, and document builds clearly Attention to detail and ability to work to tight deadlines across multiple concurrent projects
Role & responsibilities This role is responsible for processing, validating, and tabulating quantitative survey data across multiple research studies. The ideal candidate will have strong handson experience with tools like Quantum, TOM, Decipher (or equivalents) and will ensure high quality, error-free outputs delivered on schedule. The role will also require client interaction, issue resolution, and continuous improvement of processes and automation. Key Responsibilities: Data Processing & Cleaning: Clean, validate, and transform raw survey data using tools like Quantum, TOM, or Decipher, ensuring accuracy and readiness for tabulation. Tabulation & Scripting: Write and execute tabulation scripts to generate cross-tabs, summary tables, banners, and custom outputs based on project specs. Derived Variables & Data Logic: Create and manage derived variables, filters, weights, and other custom logic to align with research and analysis needs. Quality Assurance (QA): Conduct thorough checks on data files and tabulations to identify and resolve discrepancies, ensuring zero-defect delivery. Project Coordination: Work closely with project managers, survey programmers, and client teams to understand requirements and deliverables. Client Interaction: Participate in client calls or reviews to clarify specifications, provide updates, and respond to data-related queries or change requests. Tool & Process Optimization: Support automation and optimization of repetitive data tasks, contribute to internal best practices and process documentation. Mentoring & Documentation: Assist in training junior team members and help document tabulation standards, naming conventions, and QC protocols. . Preferred candidate profile Bachelor's degree in Statistics, Economics, Maths, Computer Science, or related discipline 3-7 years' relevant experience in market research data operations / tabulation / programming Strong hands-on experience with Quantum (Quantum scripting / Quantum Tab), TOM, Decipher (or similar platforms) Proficiency in writing tabulation programs, cross-tab scripting, derived variables, advanced filtering Solid knowledge of survey logic, routing, quota handling, skip patterns Strong Excel skills (pivot tables, lookups, macros) Ability to do thorough data validation, discrepancy checks, sanity testing Familiarity with other tools (SPSS, R, Python, SQL) is a plus Excellent analytical skills, attention to detail, and problem-solving orientation Good communication skills (verbal & written) - ability to interact with clients, internal stakeholders Ability to manage multiple projects concurrently, prioritize tasks under tight deadlines Flexibility to work in different time zones or travel (if required)