Sr BI Analyst / Lead BI Analyst

Position Overview:

As a BI (Business Intelligence) Developer, they will be responsible for designing,

developing, and maintaining the business intelligence solutions that support data

analysis and reporting. They will collaborate with business stakeholders, analysts, and

data engineers to understand requirements and translate them into efficient and

effective BI solutions. Their role will involve working with various data sources,

designing data models, assisting ETL (Extract, Transform, Load) processes, and

developing interactive dashboards and reports.

Key Responsibilities:

1. Requirement Gathering: Collaborate with business stakeholders to understand

their data analysis and reporting needs. Translate these requirements into

technical specifications and develop appropriate BI solutions.

2. Data Modelling: Design and develop data models that effectively represent

the underlying business processes and facilitate data analysis and reporting.

Ensure data integrity, accuracy, and consistency within the data models.

3. Dashboard and Report Development: Design, develop, and deploy interactive

dashboards and reports using Sigma computing.

4. Data Integration: Integrate data from various systems and sources to provide a

comprehensive view of business performance. Ensure data consistency and

accuracy across different data sets.

5. Performance Optimization: Identify performance bottlenecks in BI solutions and

optimize query performance, data processing, and report rendering. Continuously

monitor and fine-tune the performance of BI applications.

6. Data Governance: Ensure compliance with data governance policies and

standards. Implement appropriate security measures to protect sensitive data.

7. Documentation and Training: Document the technical specifications, data

models, ETL processes, and BI solution configurations.

8. Ensuring that the proposed solutions meet business needs and requirements.

9. Should be able to create and own Business/ Functional Requirement

Documents.

10. Monitor or track project milestones and deliverables.

11. Submit project deliverables, ensuring adherence to quality standards.

Qualifications and Skills:

1. Master/ Bachelor’s degree in IT or relevant and having a minimum of 2-4 years of

experience in Business Analysis or a related field

2. Proven experience as a BI Developer or similar role.

3. Fundamental analytical and conceptual thinking skills with demonstrated skills in

managing projects on implementation of Platform Solutions

4. Excellent planning, organizational and time management skills.

5. Strong understanding of data warehousing concepts, dimensional modelling, and

ETL processes.

6. Proficiency in SQL, Snowflake for data extraction, manipulation, and analysis.

7. Experience with one or more BI tools such as Sigma computing.

8. Knowledge of data visualization best practices and ability to create compelling

data visualizations.

9. Solid problem-solving and analytical skills with a detail-oriented mindset.

10. Strong communication and interpersonal skills to collaborate effectively with

different stakeholders.

11. Ability to work independently and manage multiple priorities in a fast-paced

environment.

12. Knowledge of data governance principles and security best practices.

13. Candidate having experience in managing implementation project of platform

solutions to the U.S. clients would be preferable.

14. Exposure to U.S debt collection industry is a plus.

• Strong knowledge in Power BI (DAX + Power Query + Power BI Service + Power BI  Desktop
• Visualizations) and Azure Data Storages.
• Should have experience in Power BI mobile Dashboards.
• Strong knowledge of SQL.
• AAS Data model Deployment in Azure, Querying data from AAS to build Reports
• Experience in developing, optimizing, and administering Tabular Models in 'Azure Analysis service'.

• Design and Create AAS/OLAP/ Tabular cubes and automate processes for analytical needs.
• Good knowledge of DWH concepts.  
• Expertise in developing OLAP cubes and developing complex calculations, Aggregations, implementing a dynamic security model using DAX functions in - Azure Analysis service

Location: Bangalore – Hebbal – 5 Days - WFO

Type:  Contract – 6 Months to start with, extendable

Experience Required: 5+ years in Data Analysis, with ERP migration experience

Key Responsibilities:

• Analyze and map data from SAP to JD Edwards structures.
• Define data transformation rules and business logic.
• Assist with data extraction, cleansing, and enrichment.
• Collaborate with technical teams to design and execute ETL processes.
• Perform data validation and reconciliation before and after migration.
• Work closely with business stakeholders to understand master and transactional data requirements.
• Support the creation of reports to validate data accuracy in JDE.
• Document data mapping, cleansing rules, and transformation processes.
• Participate in testing cycles and assist with UAT data validation.

Required Skills and Qualifications:

• Strong experience in SAP ERP data models (FI, MM, SD, etc.).
• Knowledge of JD Edwards EnterpriseOne data structure is a plus.
• Proficiency in Excel, SQL, and data profiling tools.
• Experience in data migration tools like SAP BODS, Talend, or Informatica.
• Strong analytical, problem-solving, and documentation skills.
• Excellent communication and collaboration skills.
• ERP migration project experience is essential.

About the Role

We are seeking an experienced and customer-focused Product Manager to join our team. In this role, you will be responsible for defining and executing the product vision, strategy, and roadmap. You will collaborate closely with cross-functional teams, including engineering, design, marketing, and sales, to deliver innovative solutions that solve customer pain points and align with our business objectives.

Key Responsibilities

Product Strategy and Vision

• Define and communicate a clear product vision and strategy.
• Align product goals with business objectives and customer needs.
• Conduct market research to identify trends, opportunities, and competitive positioning.

Roadmap and Prioritization

• Develop and maintain a product roadmap that balances short-term deliverables with long-term goals.
• Use prioritization frameworks (e.g., RICE, MoSCoW) to evaluate and prioritize product features.

Customer-Centric Development

• Gather and analyze user feedback through interviews, surveys, and data analytics.
• Advocate for the customer by translating their needs into actionable requirements.

Cross-Functional Collaboration

• Work with engineering teams to define and deliver high-quality, scalable products.
• Partner with designers to create user-friendly interfaces and experiences.
• Collaborate with marketing and sales teams to ensure successful product launches and adoption.

Data-Driven Decision Making

• Define and track key performance indicators (KPIs) to measure product success.
• Leverage analytics tools (e.g., Mixpanel, Google Analytics) to identify trends and optimize performance.

Agile Product Development

• Manage the product backlog and sprint planning in Agile or Scrum environments.
• Drive continuous improvement through iterative product releases.

Qualifications

Must-Have:

• 3–5 years of experience in product management or a related field.
• Proven ability to define and execute product strategies that achieve business goals.
• Strong communication and stakeholder management skills.
• Experience working with Agile development teams.
• Proficiency with product management tools (e.g., Jira, Trello, Asana) and analytics platforms (e.g., Mixpanel, Google Analytics).

Nice-to-Have:

• Familiarity with technical concepts (e.g., APIs, databases, or system architecture).
• Experience in [SaaS, B2B, Recruitment].
• Basic understanding of UX design principles and tools (e.g., Figma, Miro).
• Exposure to A/B testing and data-driven optimization techniques.

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

Our client is the world’s largest media investment company and are a part of WPP. In fact, they are responsible for one in every three ads you see globally. We are currently looking for a Senior Software Engineer to join us. In this role, you will be responsible for coding/implementing of custom marketing applications that Tech COE builds for its customer and managing a small team of developers.

What your day job looks like:

• Serve as a Subject Matter Expert on data usage – extraction, manipulation, and inputs for analytics
• Develop data extraction and manipulation code based on business rules
• Develop automated and manual test cases for the code written
• Design and construct data store and procedures for their maintenance
• Perform data extract, transform, and load activities from several data sources.
• Develop and maintain strong relationships with stakeholders
• Write high quality code as per prescribed standards.
• Participate in internal projects as required

 
Minimum qualifications:

• B. Tech./MCA or equivalent preferred
• Excellent 3 years Hand on experience on Big data, ETL Development, Data Processing.

    What you’ll bring:

• Strong experience in working with Snowflake, SQL, PHP/Python.
• Strong Experience in writing complex SQLs
• Good Communication skills
• Good experience of working with any BI tool like Tableau, Power BI.
• Sqoop, Spark, EMR, Hadoop/Hive are good to have.

• Execute an ecosystem strategy for adding and growing key data partners to the Platform. Typical deal structure will include partner identification, outreach, negotiation of terms, and closing
  
• Maintain positive relationships with existing data partners, piloting new initiatives and evaluating the performance of these initiatives as part of the larger Platform strategy
  
• Research and develop innovative new business models and growth opportunities with partners; negotiate, structure, and execute relevant agreements
  
• Execute high-impact marketing programs around new data partner initiatives to enhance positioning
  
• Assist with high profile client and new business initiatives relating to specific client data acquisition requirements
  
• Operate as an expert in the data ecosystem, with deep knowledge of 3rd party data providers, publisher and supply direct relationships, and WPP companies
  
• Oversee quarterly reports on market, industry and adoption rates for management team measuring the business value of the program, present findings to senior management
  
• Find and understand new and emerging technologies; bring new ideas and perspectives back into R&D and the business

• Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, or related field.
• OR equivalent professional work experience
• Comprehensive knowledge of the media and advertising landscape along with the major players in the marketplace
• Deep understanding of addressable marketing, audience segmentation and targeting, and both traditional and programmatic media channels
• Excellent problem-solving, organizational and analytical skills, with the ability to evolve product strategy based on research, data and industry trends
• A passion for strategic omni-channel marketing and advertising
• Proven communication, leadership, and persuasion skills
• Outstanding writing, presentation, and overall communication skills
• Success managing a direct report

Responsibilities :

• Involve in planning, design, development and maintenance of large-scale data repositories, pipelines, analytical solutions and knowledge management strategy
• Build and maintain optimal data pipeline architecture to ensure scalability, connect operational systems data for analytics and business intelligence (BI) systems
• Build data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Reporting and obtaining insights from large data chunks on import/export and communicating relevant pointers for helping in decision-making
• Preparation, analysis, and presentation of reports to the management for further developmental activities
• Anticipate, identify and solve issues concerning data management to improve data quality

Requirements :

• Ability to build and maintain ETL pipelines 
• Technical Business Analysis experience and hands-on experience developing functional spec
• Good understanding of Data Engineering principles including data modeling methodologies
• Sound understanding of PostgreSQL
• Strong analytical and interpersonal skills as well as reporting capabilities