We are looking for a highly skilled and forward-thinking SEO Specialist who lives and breathes search algorithms, AI-driven search models, and organic growth strategies. The ideal candidate is not just experienced in traditional SEO but is also keenly aware of the latest Google Core Updates, Search Generative Experience (SGE) , and the evolution of Large Language Model (LLM)-based search engines like ChatGPT, Perplexity, and You.com. You’ll play a key role in strategizing, implementing, and managing SEO campaigns that drive visibility, traffic, and conversions across platforms. A deep understanding of how search is evolving in the AI era is a must . Key Responsibilities Technical SEO & Site Optimization Conduct in-depth SEO audits for client and internal websites using tools like Screaming Frog, Ahrefs, Semrush, SurferSEO , etc. Optimize site architecture, internal linking, crawl budget, Core Web Vitals, schema markup, and mobile usability. Implement and manage structured data (JSON-LD) for enhanced SERP appearance (rich snippets, FAQs, etc.). Google Algorithm & AI Search Strategy Stay on top of Google Algorithm updates (Panda, Penguin, BERT, MUM, HCU, etc.) and adjust strategies accordingly. Understand and adapt SEO strategy for Search Generative Experience (SGE) and AI-powered search outputs . Monitor emerging search platforms leveraging LLMs (like ChatGPT plug-ins, Perplexity AI, Brave Search) and strategize visibility there. Content Strategy & Semantic SEO Work with content teams to optimize content using NLP, TF-IDF, topical clustering, and semantic SEO techniques. Use tools like Frase, Clearscope, SurferSEO, MarketMuse to plan, score, and improve long-form content. Collaborate on keyword maps, content calendars, and on-page optimization strategies that align with user intent and entity-based search. Performance Analysis & Reporting Monitor KPIs and performance using Google Search Console, Google Analytics 4 (GA4), Looker Studio , and Matomo . Create detailed SEO reports, recommendations, and roadmap documents for internal and external stakeholders. Set up and monitor conversion tracking, click-through rate improvements , and engagement metrics. On-Page, Off-Page & Link Building Optimize metadata, headers, keyword placement, alt-text, canonicalization, and UX elements. Design and execute ethical, white-hat link building campaigns (guest blogging, niche outreach, digital PR). Identify opportunities for brand mentions, HARO backlinks , and authority building. Cross-Functional Collaboration Coordinate with designers, developers, and copywriters to implement SEO changes and campaigns. Communicate SEO concepts clearly to non-technical stakeholders. Educate internal teams on the impact of AI and LLMs on search and user behavior. Key Qualifications & Skills Educational & Professional Background Bachelor's degree in Information Technology, Computer Science, Digital Marketing , or related field. 1+ years of professional experience in technical and strategic SEO . Certifications from Google, Moz, HubSpot, SEMrush , or similar platforms preferred. Technical Proficiency Tools: Ahrefs, Semrush, Screaming Frog, SurferSEO, Frase, MarketMuse Google Search Console, GA4, Looker Studio, Tag Manager Ubersuggest, Moz, KWFinder, AnswerThePublic, ChatGPT CMS Experience: WordPress, Webflow, Shopify, Magento, Joomla, Drupal Coding & Technical: Basic understanding of HTML, CSS, JavaScript , and server-side rendering vs. client-side rendering . Familiar with robots.txt, .htaccess, redirects, canonical tags , and sitemap management. AI & Emerging Tech: Exposure to AI writing tools (Jasper, Copy.ai) and experience with LLM outputs and prompt optimization . Awareness of zero-click search trends , entity SEO , and voice search optimization . Soft Skills Excellent written and verbal communication in English . Strategic thinker with an analytical, data-driven mindset . Ability to work independently, manage multiple projects, and meet deadlines. Proactive learner who tracks SEO trends and platform innovations. What We Offer Opportunity to lead SEO strategy across diverse industries. Exposure to cutting-edge AI and search innovation projects. Flexible working hours and remote-friendly environment. A collaborative, growth-driven digital culture. How to Apply Send your resume, portfolio/case studies, and a short note on: “How you would future-proof an SEO strategy in the age of AI and Google SGE?” to: mansi.bagdai@ci360degrees.com Show more Show less

What You’ll Need BS or MS degree in Computer Science, Engineering, or a related technical field Strong SQL skills 5+ years of experience working with event instrumentation, data pipelines, and data warehouses, preferably acting as a data architect in a previous role Proficiency with systems design and data modeling Fluency with workflow management tools, like Airflow or dbt Experience with modern data warehouses, like Snowflake or BigQuery Expertise breaking down complex problems, documenting solutions, and sequencing work to make iterative improvements Familiarity with marketing data tech stack Familiarity with data visualization tools such as Mode, Tableau, and Looker Familiarity with programming skills, preferably in Python Familiarity with software design principles, including test-driven development About The Role Data Platform is on a mission to democratize learning by building systems that enable company-wide analytics and experimentation. By implementing sufficient instrumentation, designing intuitive data models, and building batch/streaming pipelines, we will allow for deep and scalable investigation and optimization of the business. By developing self-serve tools, we will empower executives, PMs & engineering leadership to understand company performance at a glance and uncover insights to support decision making. Finally, by building capabilities such as forecasting, alerting, and experimentation, we will enable more, better, and faster decisions. What You’ll Do Drive direct business impact with executive-level visibility Design technical architecture and implement components from the ground up as we transition to event-based analytics Work on the unique challenge of joining a variety of online and offline data sets, not just big data Learn and grow Data Science and Data Analytics skills (we sit in the same org!) Opportunity to grow into a Tech Lead/Manager, and mentor junior team members as we quickly grow the team Partner with infrastructure and product engineers to instrument our backend services and end-to-end user journeys to create visibility for the rest of the business Design, develop and monitor scalable and cost-efficient data pipelines and build out new integrations with third-party tools Work with data analysts and data scientists to design our data models as inputs to metrics and machine learning models Establish the best practices for data engineering Assess build vs buy tradeoffs for components in our company-wide analytics platform, which will inform decision-making for executives, PMs and Ops, etc. Remote roles in India are available in all territories. About Opendoor Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple and certain. To learn how we are reinventing the Real Estate industry check out our website. Hear about our culture directly from team members by visiting The Muse. Discover what we are building for our customers by reading our blog. Opendoor Values Openness We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here. We’re committed to Diversity, Equity, Inclusion, and Belonging Opendoor is dedicated to creating an inclusive and collaborative culture. We value the diverse strengths, perspectives, and backgrounds of all our employees, and believe in empowering our teams to do their best work through teamwork and building a sense of belonging and trust. Our four employee-led Opendoor Employee Resource Groups amplify diverse voices and promote collaboration and inclusion. Our focus is on attracting and retaining exceptional talent, and we believe in empowering our employees to continuously innovate and strive for 1% improvement every day. You can find more information on our Career Page. We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise. At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at TAops-accomodations@opendoor.com. Show more Show less

Key Skills: AWS, Looker, Cloud Roles and Responsibilities: Technical leadership in all phases of software design and development in meeting requirements of service stability, reliability, scalability, and security. Hiring, training, provide technical direction and lead discussions and coordinate deliverables across multiple engineering teams globally. Work closely with Cloud and Systems product owners to understand, analyze product requirements, provide feedback, coordinate resources, and deliver a complete solution. Drive evaluation and selection of best fit, efficient, cost-effective frameworks for the Calix Cloud platform. Utilize data visualization tools to create dashboards and reports that communicate insights effectively to both technical and non-technical audiences. Drive continuous scale and optimization of the platform with an automation and metrics-driven approach. Participate and drive technical discussions within engineering group in all phases of the SDLC: review requirements, produce design documents, participate in peer reviews, support QA team, provide internal training and support TAC team. Have a Test-first mindset and use modern DevSecOps practices for Agile development. Collaborate with senior leadership to translate platform opportunities into an actionable roadmap, track progress, and deliver new platform capabilities on-time and on-budget. Triage and resolve customer escalations and technical issues. Skills Required: 10+ years of highly technical, hands-on software engineering experience and cloud-based BI & Analytics development. 3+ years of experience leading and mentoring engineering teams with strong technical direction and delivering high-quality software on schedule, including delivery for large, cross-functional projects and working with geographically distributed teams. Strong, creative problem-solving skills and ability to abstract and share details to create meaningful articulation. Passionate about delivering high-quality software solutions and enabling automation in all phases. Strong analytics background with expertise in BI tools (Sisense, Looker, ThoughtSpot, Qlik). Experience in database design, optimization, and performance tuning. Solid understanding of data engineering concepts, data modelling, and ETL processes. Develop and optimize data warehouses using BigQuery/DataBricks, employing best practices for data partitioning and optimization strategies. Strong background in transactional databases and good understanding and experience with NoSQL datastores. Practical understanding and usage of AWS (or GCP) Cloud platform and services. Hands-on expert level in one or more of the following programming languages: Python, Go. Organized and goal-focused, ability to deliver in a fast-paced environment. Education: BS degree in Computer Science, Engineering, Mathematics, or relevant industry standard

Position Title: Digital Marketing Executive Location: Sector 48, Gurgaon- Hybrid (3 days in office, 3 WFH) Company: Cigma Events Salary: as per Industry standard+ Annual Performance-based Incentive Experience Required: 3-5 Years Joining: Immediate joining Reports To: Creative Head (under Design Team) About the Company Cigma Events is a leading experiential marketing and event management agency with operations across India. We specialise in corporate conferences, brand activations, and intellectual properties (IPs) that blend creativity with executional excellence. To strengthen our digital outreach and inbound funnel, we’re hiring a full-time Digital Marketing Executive to join our in-house Design & Creative Team. Role Overview The Digital Marketing Executive will be responsible for planning, executing, and optimising digital marketing campaigns that support client deliverables as well as Cigma's internal IPs. This includes performance marketing, SEO, analytics, automation, and WhatsApp marketing campaigns. The ideal candidate must be well-versed in running paid ads and digital outreach with measurable KPIs. This role will report directly to the Creative Head and will be an integral part of the Design & Content Team, working closely with designers, video editors, and event managers. Key Responsibilities Plan and run paid ad campaigns across Google Ads, Meta, LinkedIn with monthly budgets of ₹1–2 lakh Own performance optimisation for CPL, ROAS, and lead quality Execute and manage WhatsApp marketing campaigns for promotions, reminders, and lead follow-ups using broadcast tools or APIs Track and report campaign performance via Google Analytics 4 (GA4) and Looker Studio dashboards Set up and maintain proper UTM tagging and event tracking Build and manage email workflows in Mailchimp or similar tools Manage basic SEO practices: keyword tracking, blog briefs, and on-page audits Liaise with design team for ad copies, visuals, and landing page creatives Support the creation of CRO-tested landing pages and track conversion performance Weekly and monthly performance reporting and insights Ideal Candidate Profile 3-5 years of hands-on experience in digital marketing (preferably in an agency or events/branding company) Proven experience in lead generation with clear metrics (attach sample dashboards or campaign reports) Proficiency in Google Ads, Meta Business Manager, LinkedIn Campaign Manager Working knowledge of GA4, Tag Manager, UTM builder, and campaign reporting Experience running WhatsApp marketing, including API tools or CRM plugins Understanding of SEO and content coordination Google Ads and Analytics certifications preferred Excellent written and verbal communication Self-starter with the ability to manage multiple projects and deadlines Compensation & Benefits Component Details Fixed CTC as per Industry standard Performance Incentive Applicable annually based on KPIs such as lead generation, ROAS, organic growth, and engagement Other Benefits Hybrid work flexibility (3 WFH days), skill development reimbursements, and access to premium industry events Why Work with Cigma Fast-growing agency with strong industry presence Opportunity to own and scale marketing campaigns across high-value clients and in-house IPs Direct access to leadership, flat team structure Scope for rapid career growth to Assistant Manager based on performance Creative freedom + hands-on collaboration with design and video teams Share following details on mail: abhishek@cigmaevents.com - CV and portfolio - Current CTC - Expected CTC Show more Show less

Job Title: Performance Marketing Manager Experience Required: 3–5 Years Job Overview: We are looking for a proactive, results-driven Performance Marketing Manager who will own campaign success across clients, translate business objectives into marketing outcomes, and lead execution in collaboration with freelancers and in-house teams. This is a strategic and client-facing role , ideal for someone who thrives on data, understands platforms deeply, and can manage multiple projects with high accountability. Responsibilities Campaign Strategy & Execution Plan and implement high-performance ad campaigns across Google Ads, Meta Ads , and other platforms, including LinkedIn and YouTube . Define a full-funnel strategy across the TOFU, MOFU, and BOFU stages. Set and manage clear campaign goals such as lead generation, ROAS, CAC , and lifetime value . Client Relationship & Consultation Directly interface with clients to understand business goals, translate them into media plans, and guide ongoing performance improvements. Own client onboarding , expectation management, and ongoing reporting . Regularly advise clients on campaign adjustments, CRO, creative optimization , and revenue growth opportunities. Performance & Optimization Track and interpret key performance metrics such as CTR, CPC, CVR, CPL, ROAS , etc. Proactively identify and resolve performance bottlenecks . Recommend and manage A/B tests across ads, landing pages, and funnel structure. Cross-Functional Leadership Collaborate with content, design, and development teams to implement the strategy. Manage and coordinate freelancers or junior resources to ensure campaign quality. Establish internal SOPs and scalable workflows for campaign operations. Platform Expertise Stay up-to-date on platform algorithm changes and apply best practices. Handle pixel tracking, attribution , audience targeting, and retargeting strategies . Implement conversion tracking across all channels and troubleshoot discrepancies. Requirements Must-Haves 3–5 years of experience in performance marketing, directly handling Google Ads and Meta Ads. Proven success in managing multiple client campaigns simultaneously. Strong understanding of ad platforms, audience segmentation, tracking , and optimization. Experience with service businesses, B2B , or ecommerce (Shopify experience is a plus). Ability to independently manage strategy, client communication , and execution oversight. Technical & Analytical Comfortable using tools like GA4, Meta Ads Manager, Google Ads , and Looker Studio . Hands-on knowledge of Pixel setup, UTM tracking , and attribution models . Proficient in A/B testing, performance forecasting , and using data to drive decisions. Soft Skills Strong communication and stakeholder management skills. Ability to take ownership and drive projects end-to-end with minimal supervision. Strategic mindset with strong problem-solving orientation . Bonus Knowledge of CRO frameworks and tools (e.g., Hotjar, Microsoft Clarity ). Familiarity with AI tools, automation workflows , or marketing integrations (e.g., HubSpot, Zapier ). Possession of Google Ads and/or Meta Blueprint certifications . Show more Show less

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Associate level Min Experience: 3 years Location: Mumbai JobType: full-time About The Role We are looking for an insightful and tech-savvy Data Visualization Analyst with 3–6 years of experience in transforming complex datasets into clear, actionable narratives. If you’re passionate about crafting impactful dashboards, enjoy working with cutting-edge cloud data tools, and thrive in fast-paced environments, this role is for you. You’ll work across functions—partnering with business, engineering, and analytics teams—to design intuitive, scalable, and aesthetically rich dashboards and reports that drive better decisions across the company. What You’ll Do 📊 Visualization Design & Development Create and manage interactive dashboards and data visualizations using tools like Power BI, Tableau, or Looker . Develop custom visuals and reports that are visually appealing, responsive, and tailored to stakeholder needs. 🛠️ Cloud-Based Data Access & Transformation Extract, process, and model large-scale data from Azure Data Lake and Databricks , ensuring performance and accuracy. Collaborate with data engineers to prepare, clean, and transform datasets for reporting and visualization. 🤝 Stakeholder Collaboration Translate business questions into clear analytical visual narratives and performance dashboards. Act as a visualization consultant to product, marketing, and operations teams, understanding their metrics and guiding visual design choices. 🔍 Data Quality & Governance Perform data profiling, validation, and cleansing to ensure data integrity. Maintain documentation and consistency across reports, visuals, and metric definitions. 🚀 Continuous Improvement & Innovation Stay ahead of trends in dashboarding, self-serve analytics, and BI UX best practices. Optimize existing dashboards to enhance performance, usability, and storytelling quality. What You Bring ✔️ Core Skills & Experience 3–6 years of professional experience in data visualization, business intelligence, or analytics. Strong hands-on knowledge of Azure Data Lake , Databricks , and cloud-native data platforms. Advanced proficiency in one or more visualization tools: Power BI , Tableau , Looker , or similar. Solid SQL experience for writing complex queries and transforming datasets. Understanding of data modeling concepts, including star/snowflake schemas and OLAP cubes. 🧠 Nice-to-Have Skills Familiarity with Azure Synapse , Data Factory , or Azure SQL Database . Experience using Python or PySpark for data prep or analytics automation. Exposure to data governance , role-based access control , or data lineage tools. Soft Skills & Traits Strong visual design sense and attention to detail. Ability to explain complex technical topics in simple, business-friendly language. Proactive mindset, keen to take ownership of dashboards from concept to delivery. Comfortable working in agile teams and managing multiple projects simultaneously. Preferred Qualifications Bachelor’s degree in Computer Science, Statistics, Data Analytics, or a related field. Certifications in Azure , Databricks , Power BI , or Tableau are a plus. Show more Show less

Job Title: Data Analyst- Google and Meta Ads Location: This position is permanently remote, allowing you to work from anywhere. Employment Type: Full-time About ScaleX Media: We’re a performance marketing agency for coaches, creators, and trainers, helping our clients scale exponentially and profitably. We work with top trainers and coaches in the industry and manage ad spends of more than ₹25 crores/month. We are growing at 2X! We are currently a team of fun-loving 160+ members consisting of Performance Marketers, Graphic Designers, Video Editors, Copywriters, and other leadership positions from all over the country. We’re all working towards one goal - ‘Disrupting education by helping meaningful coaches reach more people’. Why are we hiring for this position? To transform marketing data into actionable insights using Power BI or similar visualization tools. Also analyze campaign performance, build interactive dashboards and help optimize creative strategy through data-driven decision making. What does the ideal candidate look like? 2+ years experience in marketing analytics or performance marketing Strong knowledge of Meta Ads Manager, Google Ads, and GA4 Experience with ad creative analysis and performance measurement Proficiency with data visualization tools (Power BI, Looker Studio,Google Sheets + Apps Scripts ) SQL skills and advanced Excel/Google Sheets capabilities Bonus: Experience with funnel analysis and working with e-commerce, coaches, or SaaS brands. Roles and Responsibilities Build and maintain interactive dashboards using Power BI, Looker Studio, or Google Sheets Analyze campaign data from Meta Ads and Google Ads to identify performance trends Identify top-performing ad creatives and provide actionable recommendations Deliver weekly/monthly reports highlighting key metrics like ROAS, CTR, CAC, and CPM Collaborate with Copy, Growth, and Creative teams to design, implement, and analyze A/B tests Automate recurring reports and optimize data collection workflows to convey meaningful insights to the stakeholders. Stay current with platform algorithm changes, GA4 updates, and attribution modeling Understand the marketplace trends, particularly those that impact business. What’s necessary? • Laptop • Stable internet connection and power backup • Availability as per Indian Standard Time (IST) • A desire to learn the best practices and the latest trends What do you get? • Competitive Salary • Above average career growth, appraisals, and benefits • A chance to work with some of the top names in Coaches and Ed-tech • Health cover • Work from anywhere • High-standards, fun-loving, collaborative, and growth-focused environment Do not apply if: • You lack experience with high-budget ad campaigns. • You are unwilling to work collaboratively with cross-functional teams. Show more Show less

We are looking for a Senior Customer Success Operations Manager to enhance the efficiency and effectiveness of our Customer Success (CS) team. This role will focus on data-driven insights, process automation, tool optimization, and cross-functional collaboration to drive customer retention, reduce churn, and improve overall customer engagement. Key Responsibilities Data & Analytics for CS Strategy Define, track, and analyze key customer health metrics such as retention, churn, and Net Dollar Retention (NDR). Provide insights and reporting on CS performance, customer behavior, and key trends. Segment customers to enable personalized engagement strategies. Tool & Process Optimization Own and optimize Customer Success tools Implement and automate workflows (e.g., lifecycle playbooks, alerts) to scale CS operations efficiently. Ensure data integrity and accuracy across all systems. Cross-functional Collaboration Work closely with Customer Success, Marketing, Product and Platform Ops teams to improve customer onboarding and engagement. Ensure smooth handoffs between Sales → Onboarding → Customer Success. Provide data-driven insights to the Customer Success team to enhance customer experience and feature adoption. Customer Journey & Retention Strategies Design customer engagement frameworks primarily focused on Revenue Growth and Net Dollar Retention (e.g., onboarding programs, automated playbooks). Track adoption and engagement trends to proactively identify churn risks. Support CSMs in upsell and expansion opportunities through predictive analytics. Reporting & Forecasting Build dashboards and reports for Customer Success leadership to track customer success impact, mapped to the KPIs for the function. Forecast churn risk, expansion revenue, and retention trends. Measure and report on customer feedback metrics (CSAT, NPS, CES). Qualifications & Skills 5+ years in a Customer Success Operations, Revenue Operations, or Business Operations role. Strong experience with CS tools such as ChurnZero, Gainsight, PBI. Expertise in data analysis, segmentation, and reporting (Excel, SQL, or BI tools like Tableau, Looker, or Power BI). Experience in automating workflows and playbooks to scale CS processes. Strong understanding of customer retention, churn analysis, and expansion strategies. Ability to work cross-functionally with Sales, Marketing, and Product & Engineering teams. Strong communication skills to translate data-driven insights into actionable strategies. Knowledge of customer feedback frameworks (CSAT, NPS, CES) is a plus. Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. This job is located in Hyderabad, India Show more Show less

Description Design, develop, and maintain advanced Looker dashboards on GCP, ensuring they are intuitive, user-friendly, and provide actionable insights. Develop custom visualizations(ex. using Java Script) Collaborate with stakeholders to gather requirements and translate them into technical specifications, integrating data from various sources while ensuring accuracy and consistency. Develop and optimize LookML models for efficient data querying and visualization, implementing data governance and best practices for data management within Looker. Monitor and optimize the performance of Looker dashboards, troubleshooting and resolving issues related to dashboard performance and data accuracy. Work closely with data engineers, data scientists, and business analysts, providing training and support to end-users for effective use of Looker dashboards. Communicate complex technical concepts to non-technical stakeholders and stay updated with the latest trends and best practices in data visualization. Identify opportunities to enhance existing dashboards and develop new ones, contributing to the development of standard operating procedures and documentation. Manage code changes using version control and validate data using Looker's SQL Runner. Optimize and maintain Looker performance by reviewing SQL queries and data structures, ensuring data accuracy and integrity within Looker by building strong data validation processes. Create compelling dashboards and visualizations that enable data-driven decision-making, working with data engineering teams to ensure smooth integration between databases and Looker.

Role Overview: The Performance Marketing Manager will be responsible for developing, implementing, managing, and optimizing paid digital marketing campaigns across various platforms to achieve client goals. This role requires a strategic thinker with a strong analytical aptitude, hands-on experience with major advertising platforms, and a proven track record of delivering measurable results (ROI/ROAS). The ideal candidate will be adept at managing budgets, analyzing campaign data, and providing actionable insights to drive continuous improvement. Key Responsibilities: 1. Strategy Development & Execution: Develop and execute comprehensive paid media strategies across platforms such as Google Ads, Meta Ads (Facebook & Instagram), LinkedIn Ads, X Ads, and other relevant channels. Define campaign objectives, key performance indicators (KPIs), and target audiences in alignment with client goals. Conduct thorough keyword research, audience segmentation, and competitive analysis. 2. Campaign Management & Optimization: Set up, manage, and optimize paid campaigns, including bid management, budget allocation, A/B testing (ad copy, landing pages, creatives, targeting), and performance monitoring. Ensure campaigns are optimized for conversions, lead generation, brand awareness, or other defined client objectives. Implement and manage tracking mechanisms, including pixels (Meta Pixel, LinkedIn Insight Tag, etc.) and UTM parameters, often utilizing Google Tag Manager. 3. Data Analysis & Reporting: Monitor, analyze, and interpret campaign performance data using platform analytics, Google Analytics (GA4), and other relevant tools. Prepare and present regular performance reports to clients and internal stakeholders, highlighting key insights, trends, and actionable recommendations. Utilize data visualization tools (e.g., Google Looker Studio, Tableau) for clear and impactful reporting. 4. Budget Management: Effectively manage campaign budgets to ensure optimal allocation and achieve maximum ROI/ROAS for clients. Provide budget forecasts and manage pacing to ensure spend is aligned with targets. 5. Industry Trends & Innovation: Stay abreast of the latest trends, best practices, and new features in digital advertising, performance marketing, and MarTech. Proactively recommend and implement new strategies, tools, and technologies to enhance campaign performance and efficiency. 6. Collaboration: Collaborate closely with internal teams, including creative, content, SEO, and account management, to ensure integrated and effective marketing campaigns. Liaise with clients to understand their needs, provide strategic counsel, and manage expectations. Required Skills & Experience: Bachelor's degree in Marketing, Business, Statistics, or a related field. 4-6 years of proven experience in a performance marketing role, preferably within a digital agency environment in India. Hands-on proficiency with the following platforms is essential: Google Ads: Search, Display, YouTube, Shopping, Discovery, Performance Max. (Google Ads certification is highly desirable). Meta Ads Manager: Facebook & Instagram Ads. (Meta Blueprint certification is a plus). LinkedIn Campaign Manager. Google Analytics (GA4): Strong understanding of setup, tracking, analysis, and reporting. Familiarity with additional platforms/tools: X (Twitter) Ads. Programmatic advertising platforms (DSPs like DV360) is a significant advantage. E-commerce/ Retail Media Advertising. SEO/SEM tools (e.g., SEMrush, Ahrefs, Google Keyword Planner) for research. Google Tag Manager (GTM) for tag implementation and management. Microsoft Excel / Google Sheets (advanced proficiency for data analysis). Strong analytical skills with the ability to interpret data, identify trends, and make data-driven decisions. Excellent understanding of performance marketing KPIs (e.g., CPC, CPM, CTR, CPA, CPL, ROAS, Conversion Rate). Experience with A/B testing methodologies and conversion rate optimization (CRO) techniques. Strong budget management and forecasting skills. Excellent communication, presentation, and interpersonal skills. Ability to manage multiple projects simultaneously in a fast-paced environment. Understanding of the Indian digital landscape and consumer behavior is preferred. Eager to lead high-performing digital strategies? Apply now by submitting your CV to hr@ideatelab.com Show more Show less

Location : Phase-8B Mohali Experience Required: 8+ years Employment Type : Full Time, Permanent Company Overview XtecGlobal is a digital-first technology and marketing solutions company, committed to delivering performance-driven web, marketing, and automation services to clients across the globe. We blend data, design, and digital expertise to help businesses achieve scale, visibility, and customer engagement. As we expand our digital marketing team, we are looking for a Senior SEO Executive / SEO Manager to lead our SEO efforts, manage a team of specialists, and shape strategy that drives measurable organic growth. Position Overview As a Senior SEO Executive / Manager, you will be responsible for the end-to-end management of SEO strategies, ensuring top-tier search visibility, organic traffic growth, and technical optimization. You will work cross-functionally with content, tech, and marketing teams to execute high-impact SEO initiatives. This role also includes mentoring junior SEO executives, setting performance KPIs, and owning the SEO roadmap for client and internal projects. Key Responsibilities Strategy & Planning Lead the development and execution of holistic SEO strategies across on-page, off-page, and technical SEO. Define short- and long-term SEO goals in alignment with broader business and marketing objectives. Stay informed on Google algorithm updates, search trends, and emerging SEO tools. Team Leadership & Project Management Manage and mentor a team of SEO specialists, assigning tasks, reviewing work, and guiding skill development. Oversee multiple SEO projects simultaneously, ensuring timely delivery and measurable performance improvements. Collaborate with developers, designers, and content creators to implement SEO best practices site-wide. Technical SEO & Audits Conduct regular in-depth website audits to identify and resolve SEO-related issues (e.g., crawl errors, indexing issues, site speed, Core Web Vitals, mobile UX). Implement and maintain structured data/schema markup and ensure proper technical configurations (robots.txt, XML sitemaps, canonical tags, etc.). Keyword Research & Content Optimization Perform advanced keyword research using tools like SEMrush, Ahrefs, Google Keyword Planner. Develop SEO content strategies that align with search intent and target audience behaviour. Optimize metadata, headings, internal linking, and URL structures for improved search performance. Off-Page SEO & Link Building Plan and execute white-hat link-building strategies to enhance domain authority. Monitor and audit backlink profiles, disavow toxic links, and identify opportunities for acquisition. Work with outreach teams and external partners to secure high-quality backlinks. Analysis, Reporting & Recommendations Monitor SEO KPIs (traffic, keyword rankings, CTR, bounce rate, backlinks, etc.) using tools like Google Analytics, GA4, GSC, Looker Studio. Conduct competitive analysis and regularly benchmark against top competitors. Generate detailed SEO reports and insights with clear recommendations for continuous improvement. Required Skills & Qualifications 8+ years of proven experience in SEO with a strong portfolio of successful projects. Demonstrated leadership in managing SEO teams or mentoring junior staff. Deep understanding of search engine algorithms, ranking factors, and white-hat SEO techniques. Proficient with SEO tools: SEMrush, Ahrefs, Moz, Screaming Frog, GTmetrix, etc. Strong technical knowledge of HTML, CSS, JavaScript, and CMS platforms like WordPress, Shopify, Magento. Excellent written and verbal communication skills with the ability to translate SEO concepts into business impact. Strong analytical mindset with the ability to derive strategic insights from data. Ability to manage projects independently and deliver results within deadlines. Experience with international SEO, local SEO, and mobile-first SEO. Familiarity with PPC, Google Ads, or performance marketing is a plus. Knowledge of conversion rate optimization (CRO) and user behavior analysis tools like Hotjar or Crazy Egg. Basic understanding of JavaScript frameworks, headless CMS, and server-side SEO. Perks & Benefits Competitive salary based on experience Performance-based bonuses and recognition programs Opportunity to lead high-impact digital marketing campaigns Supportive leadership, flexible working environment Learning and development programs, including certifications Exposure to international SEO projects and global clientele Application Instructions Interested candidates can send their updated resume and optionally, a portfolio of past SEO projects or performance reports to: hr@xtecglobal.com Subject Line: Application – Senior SEO Executive – [Your Full Name] Show more Show less

About Traya Health: Traya is an Indian direct-to-consumer hair care brand platform providing a holistic treatment for consumers dealing with hair loss. The Company provides personalised consultations that help determine the root cause of hair fall among individuals, along with a range of hair care products that are curated from a combination of Ayurveda, Allopathy, and Nutrition. Traya's secret lies in the power of diagnosis. Our unique platform diagnoses the patient’s hair & health history, to identify the root cause behind hair fall and delivers customized hair kits to them right at their doorstep. We have a strong adherence system in place via medically-trained hair coaches and proprietary tech, where we guide the customer across their hair growth journey, and help them stay on track. Traya is founded by Saloni Anand, a techie-turned-marketeer and Altaf Saiyed, a Stanford Business School alumnus. Our Vision: Traya was created with a global vision to create awareness around hair loss, de-stigmatise it while empathising with the customers that it has an emotional and psychological impact. Most importantly, to combine 3 different sciences (Ayurveda, Allopathy and Nutrition) to create the perfect holistic solution for hair loss patients. Role Overview: As a Senior Data Engineer, you will architect, build, and maintain our data infrastructure that powers critical business decisions. You will work closely with data scientists, analysts, and product teams to design and implement scalable solutions for data processing, storage, and retrieval. Your work will directly impact our ability to leverage data for business intelligence, machine learning initiatives, and customer insights. Key Responsibilities: ● Design, build, and maintain our end-to-end data infrastructure on AWS and GCP cloud platforms ● Develop and optimize ETL/ELT pipelines to process large volumes of data from multiple sources ● Build and support data pipelines for reporting, analytics, and machine learning applications ● Implement and manage streaming data solutions using Kafka and other technologies ● Design and optimize database schemas and data models in ClickHouse and other databases ● Develop and maintain data workflows using Apache Airflow and similar orchestration tools ● Write efficient, maintainable, and scalable code using PySpark and other data processing frameworks ● Collaborate with data scientists to implement ML infrastructure for model training and deployment ● Ensure data quality, reliability, and security across all data platforms ● Monitor data pipelines and implement proactive alerting systems ● Troubleshoot and resolve data infrastructure issues ● Document data flows, architectures, and processes ● Mentor junior data engineers and contribute to establishing best practices ● Stay current with industry trends and emerging technologies in data engineering Qualifications Required ● Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred) ● 5+ years of experience in data engineering roles ● Strong expertise in AWS and/or GCP cloud platforms and services ● Proficiency in building data pipelines using modern ETL/ELT tools and frameworks ● Experience with stream processing technologies such as Kafka ● Hands-on experience with ClickHouse or similar analytical databases ● Strong programming skills in Python and experience with PySpark ● Experience with workflow orchestration tools like Apache Airflow ● Solid understanding of data modeling, data warehousing concepts, and dimensional modeling ● Knowledge of SQL and NoSQL databases ● Strong problem-solving skills and attention to detail ● Excellent communication skills and ability to work in cross-functional teams Preferred ● Experience in D2C, e-commerce, or retail industries ● Knowledge of data visualization tools (Tableau, Looker, Power BI) ● Experience with real-time analytics solutions ● Familiarity with CI/CD practices for data pipelines ● Experience with containerization technologies (Docker, Kubernetes) ● Understanding of data governance and compliance requirements ● Experience with MLOps or ML engineering Technologies ● Cloud Platforms: AWS (S3, Redshift, EMR, Lambda), GCP (BigQuery, Dataflow, Dataproc) ● Data Processing: Apache Spark, PySpark, Python, SQL ● Streaming: Apache Kafka, Kinesis ● Data Storage: ClickHouse, S3, BigQuery, PostgreSQL, MongoDB ● Orchestration: Apache Airflow ● Version Control: Git ● Containerization: Docker, Kubernetes (optional) What We Offer ● Competitive salary and comprehensive benefits package ● Opportunity to work with cutting-edge data technologies ● Professional development and learning opportunities ● Modern office in Mumbai with great amenities ● Collaborative and innovation-driven culture ● Opportunity to make a significant impact on company growth Show more Show less

Exp: 3 to 5 years Location: Chennai, Bangalore Must have skill: 3+ years of experience in full stack software development + years’ experience in Cloud technologies & services, preferably GCP 3+ years of experience of practicing statistical methods ANOVA, principal component analysis 3+ years’ experience with Python, SQL, BQ Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc Experience in Train, Build and Deploy ML, DL Models Experience in HuggingFace, Chainlit, Streamlit, React Show more Show less

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,cohort analysis,google sheets,time series analysis,data modeling,predictive analysis,business intelligence tools,power bi,advanced analytics,excel,scenario analysis Show more Show less

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI Show more Show less

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI Show more Show less

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. As an Associate Manager, your primary role will be to manage a team of customer support agents. You will be responsible for your team's performance as measured by key operational metrics, including contacts handled, first contact resolution rates, and quality scores. You will coach team members in a timely manner based on their performance against these metrics. Additionally, you will work closely with senior leadership to own optimization initiatives and contribute to roadmap efforts. This may include participating in interviews. You will become a subject matter expert on Coinbase's operational processes and workflows, collaborating across customer experience teams as needed. As business needs require, you may manage Customer Support Supervisors. To perform these duties successfully, you will utilize tools such as: Maestro QA, Salesforce, Slack, G-Suite, Confluence, Looker, Amazon Web Services (AWS), and proprietary technologies. Familiarity with these systems is essential for tracking agent performance, collaborating with colleagues, documenting procedures, and analyzing business data. What you’ll be doing (ie. job duties): Lead a team of high performing customer service agents across multiple channels (eg. phone, messaging, email) Manage and support initiatives aimed at improving operations through the automate, eliminate, and optimize framework. Act as a trusted point of contact for escalations and high priority issues related to your scope. Achieve SLAs, productivity and quality metrics for your line of business/team members. Collaborate cross-functionally with Program, Quality, Training and Product teams to improve existing workflows and processes. Utilize an in-depth understanding of metrics to drive data-backed business decisions. Communicate policies and follow up to ensure compliance and consistency; taking corrective action as necessary and documenting the issue and actions taken. Provide leadership and mentorship across key areas like performance management, learning & development, and leadership skills Potentially manage Customer Support Supervisors as business needs necessitate Participate in the interview and selection process for new customer support agents What we look for in you (ie. job requirements): Customer obsessed, motivated by Coinbase’s mission and crafting a seamless support experience for our global customer base. Minimum of 8 years of relevant experience in financial services, technology and/or customer support. Minimum of 5 years of people management experience in an operations environment. Ultra proactive in identifying opportunities, proposing solutions, and demonstrating a bias for action in executing solutions Excellent track record of leading deeply engaged and high performing teams and using metrics to make business decisions. Ability to work independently and as part of a team, with a high level of self-motivation, personal accountability, and natural curiosity Exceptional organizational and time management skills, with the ability to prioritize tasks and manage competing deadlines Drives urgency and adapts flexibly to evolving needs in a complex, fast-paced, and high-growth environment. Crypto is a 24/7/365 business so availability to work shifts on weekends, and outside of the "standard" work day Excellent communication skills (written and verbal), ability to simplify complex topics for broad audiences Willing to work from an office at Hyderabad, India Nice to haves: Experience at crypto exchanges or in financial services, ideally in payments, trading operations or technical support. Advanced experience in project management, analytics or quality assurance. Advanced degree in business, finance, customer experience and/or blockchain. Advanced understanding of Google apps, JIRA, Salesforce Service Cloud P60173 Pay Transparency Notice: The target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, and vision). Pay Range:: ₹3,419,600 INR - ₹3,419,600 INR Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice here . Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here) . Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. Show more Show less

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI Show more Show less

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI Show more Show less

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI Show more Show less

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI Show more Show less

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI Show more Show less

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI Show more Show less

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI Show more Show less

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI Show more Show less