Sr BI Analyst / Lead BI Analyst

🏢 About MyOperator

MyOperator is a Business AI Operator, a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform.

Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.

💡 About the Role

We’re looking for a builder’s mindset — someone who doesn’t just follow processes but creates them.

As a Product Operations Associate (Founder’s Office), you’ll work directly with the COO, owning automation, internal tool development, and execution-heavy projects that make MyOperator faster and smarter.

You won’t just coordinate — you’ll ideate, design, test, and implement.

If you’re the kind of person who can turn “let’s automate this” into “it’s already done”, this role is your arena.

🎯 What You’ll Do

• Take ownership of internal product and automation projects from start to finish.
• Design and build simple systems, workflows, or tools using Zoho or other low-code platforms.
• Manage junior developers or interns, assigning clear technical tasks and ensuring delivery.
• Identify inefficiencies across business functions and create automation solutions.
• Collaborate directly with the COO to prioritize and deliver Founder’s Office initiatives.
• Test and validate solutions before rollout; track adoption and impact post-launch.
• Create documentation and training resources to make internal tools scalable.

🧠 What Makes You a Fit

• 1–3 years of experience in product operations, automation, or internal tools roles.
• Strong understanding of software systems, APIs, and workflow logic (hands-on mindset preferred).
• Able to independently manage tech projects — from concept to completion.
• Great at problem-solving, structure, and ownership.
• You don’t wait for instructions — you figure it out, fix it, and ship it.
• Bonus: Exposure to Zoho apps, automation tools, or low-code platforms.

⚙️ Good to Have

• Prior experience building small tools, internal dashboards, or workflow automations.
• Comfort with JavaScript / Python / Deluge for light hands-on scripting.
• Familiarity with Postman, APIs, or system integrations.
• Strong documentation and communication skills — clarity is your superpower.

🌟 Why You’ll Love This Role

• You’ll work directly with the COO and be part of the Founder’s Office brainroom.
• Every project you lead will have visible impact on how 200+ people work.
• You’ll learn how to think like a product owner and execute like a builder.
• No bureaucracy, no silos — just ideas, ownership, and results.
• Fast track to roles like Program Manager, Product Owner, or Automation Lead.

🎓 Who Can Apply

• Graduates in Engineering / Computer Science / Operations / Management.
• 1–3 years of experience preferred (internship experience in automation or product ops also counts).
• Comfortable with tools, logic, and data.
• Must be available full-time in our Noida office.

Review Criteria

• Strong Senior Data Engineer profile
• 4+ years of hands-on Data Engineering experience
• Must have experience owning end-to-end data architecture and complex pipelines
• Must have advanced SQL capability (complex queries, large datasets, optimization)
• Must have strong Databricks hands-on experience
• Must be able to architect solutions, troubleshoot complex data issues, and work independently
• Must have Power BI integration experience
• CTC has 80% fixed and 20% variable in their ctc structure

Preferred

• Worked on Call center data, understand nuances of data generated in call centers
• Experience implementing data governance, quality checks, or lineage frameworks
• Experience with orchestration tools (Airflow, ADF, Glue Workflows), Python, Delta Lake, Lakehouse architecture

Job Specific Criteria

• CV Attachment is mandatory
• Are you Comfortable integrating with Power BI datasets?
• We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?

Role & Responsibilities

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

Ideal Candidate

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

What We’re Looking For :-

• 4–6 years of experience in performance marketing, ideally in a high-growth D2C, e-commerce, or startup environment.
• Proven expertise in managing large-scale paid media campaigns across Meta and Google Ads (experience with additional platforms is a plus).
• Strong analytical mindset with deep knowledge of attribution models, customer acquisition, and conversion funnels.
• A creative and collaborative approach to working with design and content teams.

Key Responsibilities:-

• Lead the planning, execution, and optimization of paid campaigns across Meta, Google, and other relevant channels.
• Manage marketing budgets effectively while monitoring key KPIs (CAC, ROAS, CTR, CR) and reporting performance metrics regularly.
• Continuously test and refine ad creatives, audiences, ad placements, and bidding strategies to maximize impact.
• Analyze campaign performance using tools such as GA4, Meta Ads Manager, and attribution platforms.
• Partner with creative and content teams to develop high-performing ad assets.
• Collaborate cross-functionally with retention, product, and design teams to optimize the full-funnel experience, including landing pages.

Key Responsibilities:

Exchange Circular Compliance:

• Monitor, Analyze, and interpret circulars, notifications, and directives issued by exchanges (e.g., NSE, BSE) and regulatory bodies (e.g., SEBI).
• Assess the impact of new circulars on business processes and operational procedures.
• Coordinate with relevant departments (e.g., trading, operations, IT) to ensure timely implementation of applicable circular requirements.
• Maintain a circular tracker and ensure that actions taken are documented and auditable.
• Draft and update internal compliance manuals and SOPs based on circulars and regulatory changes.
• Communicate relevant regulatory changes across the organization in an accessible and actionable format.

Audit Management (Internal & External):

• Lead and coordinate periodic internal audits and regulatory/exchange inspections.
• Liaise with auditors (statutory, internal, SEBI, exchange-appointed) and ensure all required documentation and data are prepared and submitted.
• Address audit observations and implement corrective action plans in collaboration with other teams.
• Maintain audit logs, evidence, and historical audit records for regulatory reference and future inspections.
• Ensure closure of non-compliance issues raised during audits within stipulated timelines.
• Conduct periodic internal compliance checks to identify gaps and improve readiness for inspections.

Qualifications & Skills:

• Bachelor’s or Master’s degree in Law, Finance, Commerce, OR CA.
• 5-6 years of experience in compliance within a brokerage, stock exchange, or financial services environment.
• Strong understanding of SEBI regulations and exchange rules.
• Experience handling audits and regulatory inspections, including SEBI and exchange audits.
• Excellent document management, reporting, and analytical skills.
• Familiarity with compliance tracking tools and audit software is an advantage.
• Strong verbal and written communication skills to interface with regulators and auditors.

Preferred Certifications

• NISM Series certifications 

Role Summary:

Lead and drive the development in BI domain using Tableau eco-system with deep technical and BI ecosystem knowledge. The resource will be responsible for the dashboard design, development, and delivery of BI services using Tableau eco-system.

Key functions & responsibilities:

· Communication & interaction with Project Manager to understand the requirement

· Dashboard designing, development and deployment using Tableau eco-system

· Ensure delivery within given time frame while maintaining quality

· Stay up to date with current tech and bring relevant ideas to the table

· Proactively work with the Management team to identify and resolve issues

· Performs other related duties as assigned or advised

· He/she should be a leader that sets the standard and expectations through example in his/her conduct, work ethic, integrity and character

· Contribute in dashboard designing, R&D and project delivery using Tableau

Experience:

· Overall 3-7 Years of experience in DWBI development projects, having worked on BI and Visualization technologies (Tableau, Qlikview) for at least 3 years.

· At least 3 years of experience covering Tableau implementation lifecycle including hands-on development/programming, managing security, data modeling, data blending, etc.

Technology & Skills:

· Hands-on expertise of Tableau administration and maintenance

· Strong working knowledge and development experience with Tableau Server and Desktop

· Strong knowledge in SQL, PL/SQL and Data modelling

· Knowledge of databases like Microsoft SQL Server, Oracle, etc.

· Exposure to alternate Visualization technologies like Qlikview, Spotfire, Pentaho etc.

· Good communication & Analytical skills with Excellent creative and conceptual thinking abilities

· Superior organizational skills, attention to detail/level of quality, Strong communication skills, both verbal and written

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

• At least 3+ years of experience in a Data Scientist role
• Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process
• Experience with large data sets, big data, and analytics
• Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting
• Training Machine Learning (ML) algorithms in areas of forecasting and prediction
• Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems
• Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems
• Experience in translating business needs into problem statements, prototypes, and minimum viable products
• Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources
• Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

• Worked on forecasting projects – both classical and ML models
• Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive
• Strong background in forecasting accuracy drivers
• Experience in Advanced Analytics techniques such as regression, classification, and clustering
• Ability to explain complex topics in simple terms, ability to explain use cases and tell stories

Job Description

We are looking for an experienced engineer with superb technical skills. Primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions.

Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.

Skills

• Bachelors/Masters/Phd in CS or equivalent industry experience
• Demonstrated expertise of building and shipping cloud native applications
• 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
• Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• 5+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

Responsibilities

• Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
• Create custom Operators for Kubernetes, Kubeflow
• Develop data ingestion processes and ETLs
• Assist in dev ops operations
• Design and Implement APIs
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices

What you need to have:

• Minimum 2 years of data analytics and interpretation experience
• Proven experience to show how data analytics shaped strategy, marketing and product. Should have multiple examples of this based on current and past experience
• Strong Data Engineering skills using tools like SQL, Python, Tableau, Power BI, Advanced Excel, PowerQuery etc
• Strong marketing acumen to be able to translate data into marketing outcomes
• Good understanding of Google Analytics, Google AdWords, Facebook Ads, CleverTap and other analytics tools
• Familiarity with data sources like Branch/ Clevertap / Firebase, Big Query, Internal Tables (User/ Click/ Transaction/ Events etc)