Sr BI Analyst / Lead BI Analyst

Job Title: 

Role Overview

We are seeking a high-performing Senior Power BI Analyst / Developer to design, build, and optimize our next-generation enterprise analytics platform. In this role, you will be the core architect of our data visualization layer, turning complex data streams into actionable executive insights.

The ideal candidate bridges the gap between traditional business intelligence and modern cloud data engineering. You will be responsible for building highly performant, scalable data models on Azure and creating seamless, near real-time reporting solutions utilizing streaming data and Change Data Capture (CDC) pipelines.

Key Responsibilities

1. Advanced Data Modeling & Performance Tuning

Design, implement, and maintain enterprise-grade, highly scalable data models (Star and Snowflake schemas) within Power BI and Azure Analysis Services/Fabric.

Optimize complex DAX queries, M code, and data loading processes to ensure sub-second dashboard responsiveness on large-scale datasets.

Implement advanced performance-tuning strategies, including aggregations, incremental refreshing, and hybrid tables (combining Import and DirectQuery).

2. Streaming Analytics & Real-Time Reporting

Architect and implement near real-time dashboards utilizing Power BI streaming datasets, push datasets, and automatic page refreshes.

Integrate reporting front-ends with modern Change Data Capture (CDC) architectures to surface low-latency transactional updates.

Partner with data engineering teams to ingest and model fast-moving event data coming from cloud streams into analytical reporting structures.

3. Azure Architecture Integration

Leverage the Azure data stack (Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Databricks, and Azure SQL DB) to build robust downstream reporting layers.

Participate in the orchestration of data pipelines (using Azure Data Factory or Synapse pipelines) to align with dashboard refresh schedules.

Embrace modern Power BI developer workflows using Tabular Editor, ALM Toolkit, DAX Studio, and Git integration for version control.

Required Technical Skills & Qualifications

Experience: 3-5+ years of dedicated experience developing, modeling, and tuning enterprise Power BI solutions, with at least 2+ years operating within an Azure cloud ecosystem.

Expert DAX & Power Query: Mastery of complex DAX computations (time-intelligence, advanced filtering) and optimized M-code data transformations.

Modern Data Paradigms: Proven experience handling Streaming Data or CDC (Change Data Capture) patterns (e.g., streaming from Debezium, Azure Event Hubs, Kafka, or Synapse Link) into Power BI.

Azure Stack Expertise: Solid working knowledge of Azure data resources (Synapse, Data Factory, Azure SQL, or Azure Fabric Lakehouses).

Data Engineering Concepts: Deep understanding of data warehousing concepts, including slowly changing dimensions (SCDs), partitioning, and indexing strategies.

Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field (or equivalent practical experience).

Preferred (Nice-to-Have) Skills

Microsoft Certifications: PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer).

Experience with CI/CD deployment pipelines for Power BI deployment pipelines or Azure DevOps.

Familiarity with SQL performance tuning (analyzing execution plans, optimizing views, and indexing).

About the Role:

We are looking for a highly adaptable and proactive Founder's Office Associate with a technical background. This role involves working directly with leadership to optimize existing processes, set up new workflows, troubleshoot operational bottlenecks, and drive data-driven decision-making.

Key Responsibilities:

• Identify inefficiencies in current processes and implement solutions to streamline operations.
• Work on automating repetitive tasks and improving workflows.
• Analyze reports and data to provide insights for better decision-making.
• Research and learn new tools, technologies, and best practices to enhance productivity.
• Collaborate with cross-functional teams to execute strategic projects.
• Act as a problem-solver for ad-hoc challenges within the company.
• Support leadership in tracking KPIs, preparing reports, and monitoring key metrics.

Who You Are:

• Background: A degree in Engineering, Computer Science, or a technical discipline.
• Experience: 0-3 years in operations, business analysis, or a technical role involving problem-solving.

Skills:

• Strong analytical and data interpretation skills.
• Ability to work with tools like Excel, SQL, or basic scripting for automation (preferred but not mandatory).
• Excellent communication and project management skills.

Mindset:

• Entrepreneurial and self-driven.
• Comfortable working in an ambiguous and fast-paced environment.
• Passionate about solving problems and improving processes.

Why Join Us?

• Direct exposure to leadership and cross-functional teams.
• Opportunity to learn and grow in a high-impact role.
• Dynamic work environment with challenging and rewarding tasks.

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)

Mandatory (Experience 1): Must have 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).

Mandatory (Experience 2): Must have 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.

Mandatory (Experience 3): Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.

Mandatory (Skills 1): Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.

Mandatory (Skills 2): Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.

Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.

Mandatory (Skills 4): Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.

Mandatory (Company): B2C product organizations (fintech, e-commerce, edtech, or consumer platforms) with large-scale user datasets and analytics maturity.

Mandatory (Note): Don’t want data analysts; looking for strategic behavioral insight leaders or research-driven analytics professionals focused on user behavior and product decision-making.

We are seeking a dynamic and experienced Senior Pre-Sales Business Analyst to join our team. The incumbent will play a pivotal role in engaging with potential clients and channel partners, providing strategic insights, and crafting tailored solutions to address client needs. This role demands a blend of technical expertise, business acumen, and exceptional communication skills to effectively articulate our value proposition and drive revenue growth.

Responsibilities

· Engage with clients to understand their business objectives, challenges, and requirements related to computer vision applications.

· Conduct detailed analysis and document business requirements, ensuring clarity, completeness, and feasibility.

· Collaborate with the solutioning and development teams to propose innovative and technically viable solutions that meet clients' requirements.

· Act as a liaison between clients and internal teams, effectively communicating and translating business requirements to technical teams.

· Utilize the low-code platform and AI models to design innovative solutions that address client needs.

· Analyze client data and business processes to identify opportunities for optimization and efficiency gains.

· Develop comprehensive proposals and presentations outlining customized solutions tailored to each client's requirements.

· Collaborate with the sales team to develop compelling proposals, presentations, and demonstrations to showcase the value and capabilities of our computer vision products.

· Participate in pre-sales activities, including client meetings, presentations, and workshops, to support business development efforts.

· Conduct market research to identify potential clients, industry trends, and competitive landscape.

· Analyze market data and client feedback to refine product offerings and develop new solutions.

· Stay updated with industry trends, emerging technologies, and competitive landscape related to computer vision and provide insights and recommendations for product enhancements.

· Contribute to the continuous improvement of business analysis processes, tools, and methodologies within the organization. 

Qualifications

· Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field.

· 3-4 years of experience as a Business Analyst, preferably with pre-sales experience in the computer vision industry.

· Excellent communication and interpersonal skills to effectively interact with clients, understand their needs, and convey technical information to non-technical stakeholders.

· Proven experience in documenting business requirements, functional specifications, and use cases.

· Ability to collaborate and work effectively with cross-functional teams, including solution architects, developers, and sales professionals.

· Strong analytical and problem-solving skills, with the ability to think critically and propose innovative solutions.

· Proficiency in project management methodologies and tools to ensure timely and successful project delivery.

· Flexibility and adaptability to handle multiple projects simultaneously and work in a fast-paced environment.

· Willingness to travel as required to client locations for meetings, workshops, and presentations. 

Invidoe is creating the future of video creation on the browser, across devices, collaborative and easy. We are looking for a tech-savvy & result-driven individual who is interested in working as an SEO Executive @ Invideo

You will be working closely with the SEO lead, primarily focusing on multiple author outreach projects. 

The position requires you to be fluent in written and oral English to build relations effectively with the authors. You will be required to research to identify potential websites. And use the information to improve and develop creative email pitches. 

We are a growing organization. Things change rapidly over here. An ideal candidate should be compatible and flexible to work with various internal teams. 

Responsibilities: 

• Implementing an off-page SEO link-building strategy. 
• Develop personalized email pitches to reach out to potential prospects. ● Analyzing the website using the analytical tool. 
• Leading keyword research and implementing it during link acquisition. ● Staying up to date with the latest Google algorithm changes. 
• Experience working with analytics tools including Google Analytics, Ahrefs, and Google Keyword Planner. 

Requirements: 

• Effective communication skills including a solid grasp of English grammar and professional writing ability. 
• Extensive experience in SEO. 
• Ability to come up with new ideas to establish quality relationships with different website owners and vendors. 
• Any graduate with relevant experience of 1-3 years. 
• Team player with the highest level of integrity. 
• Good knowledge of backlink analysis. 
• Working knowledge of Google Analytics.

• Analyze organic search landscapes to discover opportunities that may drive valuable traffic
• Help keep our pages SEO optimized for mobile users and search performance
• Perform extensive keyword research and product listing audits to put forth optimized content regularly
• Grow into an SEO leader, taking additional responsibilities as and when needed
• Conduct competitive site analysis
• Monitor SEO impact with key metrics
• Develop and implement link building strategies
• Work with the editorial team to drive SEO traffic in content creation through other digital marketing channels such as the blog
• Recommend changes to website architecture, content, linking, and other factors impacting SEO positions for target keywords

• Has a minimum of 2 years of SEO experience Offpage, Onpage, Technical SEO
• Is passionate and flexible to get innovative to boost organic search; should not accept theories at face value and should prefer testing, exploring to prove the effectiveness of tactics
• Is adept with SEO suits and tools such as Google Webmaster Tools, Analytics, SEMRush, Ahrefs, among others
• Has extensive knowledge in link building, keyword research, content creation, and on-page optimization (is a plus)
• Has prior experience of managing a team or is willing to take up the responsibility of managing a team and is a team player

Business development can be summarized as the ideas, initiatives, and activities that help make a business better.

The target area would be clients looking forward to Digital Marketing services. Hence includes,

• Increasing revenues
• Growth in terms of business expansion,
• Increasing profitability by building strategic partnerships and making strategic business decisions.
• Responsible for prospecting, identifying, and developing business with new customers                              
• Preparing commercials for prospective clients based on the business offering in consultation with the project manager.
• Introduce the new client to the operations team and assist the operations team to work for the new client.
• Competitor analysis: Should be aware of the work being done by the competition and come up with strategies to acquire those accounts.
• Providing management with client/market feedback.
• Ability to identify client needs and decide deliverables for the same.
• Should be self-driven, target-oriented, and passionate

Role Business

• Industry Type IT
• Functional Area Sales & Business Development
• Employment Type Full Time, Permanent
• Role Category BD / Pre Sales

Education

• UG: Any Graduate
• PG: Any Postgraduate
• Doctorate: Doctorate Not Required