Must have
Proven understanding of Data Modelling and Analytics
Advanced knowledge and experience working with relational and NOSQL databases as well as data warehousing.
Experience of working with Microsoft’s BI technology stack SSIS, SSRS, SSAS (tabular model), Power BI, Power Query, Excel.
Experience with Microsoft Azure Analytics tools and technologies such as Azure Synapse Analytics, Azure Data Bricks, HD Insight, Azure Data Factory, Azure Machine learning, Azure Stream Analytics, Azure Data Lake, Azure Analysis Services, Event Hubs, Azure Data Explorer, Azure Data Share, Azure Time Series Insights.
Good interpersonal, verbal, and written communication skills with a proven ability to explain complex technical ideas and problems clearly to non-experts
Good to have
Self-motivated, enthusiastic, and strong problem solving skills
Cultural awareness and experience of delivering solutions internationally working in an agile project delivery environment.
Experience maintaining source control in Git or Azure DevOps
Strong experience with various Software Development Life cycles (SDLC) methodologies: Agile or Standard waterfall initiatives
Proven experience working with various Project Management practices and disciplines
Demonstrated strong interpersonal skills to augment a close working relationship with cross functional teams
A history of designing and implementing reporting solutions that are both functional and engaging
Meticulous attention to detail
Proficiency in DAX, MDX, Python/Scala/Spark SQL
Non-profit sector knowledge/experience
Cosmos DB
Machine Learning
Roles & Responsibilities
Provide the organisation with accurate and timely BI solutions based on requirements gathered through business partnering activities
Maintain and support existing BI solutions
Proactively source new and innovative solutions that provide clear business value and construct ‘proof of concepts’ to demonstrate the new solutions
Proactively identify any technical project risks/issues related to BI
Estimate and deliver BI project tasks to agreed prioritisation and timeframes
Support the IT Service Delivery team with the BI reporting environment
Assist product owners in designing, agreeing, implementing and managing changes to the BI environment
Maintain accurate technical documentation
Communicate data and insights
Subodh Popalwar
Software Engineer, Memorres
About Scremer
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Data AnalyticsJob Title
Data Analyst
Job Brief
The successful candidate will turn data into information, information into insight and insight into business decisions.
Data Analyst Job Duties
Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
Responsibilities
● Interpret data, analyze results using statistical techniques and provide ongoing reports.
● Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
● Acquire data fromprimary orsecondary data sources andmaintain databases/data systems.
● Identify, analyze, and interpret trends orpatternsin complex data sets.
● Filter and “clean” data by reviewing computerreports, printouts, and performance indicatorsto locate and correct code problems.
● Work withmanagementto prioritize business and information needs.
● Locate and define new processimprovement opportunities.
Requirements
● Proven working experienceas aData Analyst or BusinessDataAnalyst.
● Technical expertise regarding data models, database design development, data mining and segmentation techniques.
● Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).
● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).
● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
● Adept atqueries,reportwriting and presenting findings.
Job Location SouthDelhi, New Delhi
Data Analytics Work closely with different Front Office and Support Function stakeholders including but not restricted to Business
Management, Accounts, Regulatory Reporting, Operations, Risk, Compliance, HR on all data collection and reporting use cases.
Collaborate with Business and Technology teams to understand enterprise data, create an innovative narrative to explain, engage and enlighten regular staff members as well as executive leadership with data-driven storytelling
Solve data consumption and visualization through data as a service distribution model
Articulate findings clearly and concisely for different target use cases, including through presentations, design solutions, visualizations
Perform Adhoc / automated report generation tasks using Power BI, Oracle BI, Informatica
Perform data access/transfer and ETL automation tasks using Python, SQL, OLAP / OLTP, RESTful APIs, and IT tools (CFT, MQ-Series, Control-M, etc.)
Provide support and maintain the availability of BI applications irrespective of the hosting location
Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability, provide incident-related communications promptly
Work with strict deadlines on high priority regulatory reports
Serve as a liaison between business and technology to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated, and well understood, and considered as part of operational
prioritization and planning
To work for APAC Chief Data Office and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).
General Skills:
Excellent knowledge of RDBMS and hands-on experience with complex SQL is a must, some experience in NoSQL and Big Data Technologies like Hive and Spark would be a plus
Experience with industrialized reporting on BI tools like PowerBI, Informatica
Knowledge of data related industry best practices in the highly regulated CIB industry, experience with regulatory report generation for financial institutions
Knowledge of industry-leading data access, data security, Master Data, and Reference Data Management, and establishing data lineage
5+ years experience on Data Visualization / Business Intelligence / ETL developer roles
Ability to multi-task and manage various projects simultaneously
Attention to detail
Ability to present to Senior Management, ExCo; excellent written and verbal communication skills
Machine Learning (ML)
Data SciencePythonOur client combines Adtech and Martech platform strategy with data science & data engineering expertise, helping our clients make advertising work better for people.
- Act as primary day-to-day contact on analytics to agency-client leads
- Develop bespoke analytics proposals for presentation to agencies & clients, for delivery within the teams
- Ensure delivery of projects and services across the analytics team meets our stakeholder requirements (time, quality, cost)
- Hands on platforms to perform data pre-processing that involves data transformation as well as data cleaning
- Ensure data quality and integrity
- Interpret and analyse data problems
- Build analytic systems and predictive models
- Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further
- Visualize data and create reports
- Experiment with new models and techniques
- Align data projects with organizational goals
Requirements
- Min 6 - 7 years’ experience working in Data Science
- Prior experience as a Data Scientist within a digital media is desirable
- Solid understanding of machine learning
- A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
- Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
- A knack for statistical analysis and predictive modelling
- Good knowledge of R, Python
- Experience with SQL, MYSQL, PostgreSQL databases
- Knowledge of data management and visualization techniques
- Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau or Data Studio
- Evidence of technical comfort and good understanding of internet functionality desirable
- Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
- Proactive and results-oriented
- A positive, can-do attitude with a thirst to continually learn new things
- An ability to work independently and collaboratively with a wide range of teams
- Excellent communication skills, both written and oral
Python
R Languagemake an impact by enabling innovation and growth; someone with passion for what they do and a vision for the future.
Responsibilities:
- Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
- Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
- Become an expert on data and trends, both internal and external to Kaleidofin.
- Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
- Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
- Automate scheduling and distribution of reports and support auditing and value realization.
- Partner with enterprise architects to define and ensure proposed.
- Business Intelligence solutions adhere to an enterprise reference architecture.
- Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks
Requirements:
- Experience leading development efforts through all phases of SDLC.
- 5+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
- Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
- Hands on experience in SQL, data management, and scripting (preferably Python).
- Strong data visualisation design skills, data modeling and inference skills.
- Hands-on and experience in managing small teams.
- Financial services experience preferred, but not mandatory.
- Strong knowledge of architectural principles, tools, frameworks, and best practices.
- Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
- Team handling preferred for 5+yrs experience candidates.
- Notice period less than 30 days.
Data Science- Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
- Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
- Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
- Design, develop and maintain the framework for the analytics solutions pipeline
- Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
- Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
- Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives
* Formulates and recommends standards for achieving maximum performance
and efficiency of the DW ecosystem.
* Participates in the Pre-sales activities for solutions of various customer
problem-statement/situations.
* Develop business cases and ROI for the customer/clients.
* Interview stakeholders and develop BI roadmap for success given project
prioritization
* Evangelize self-service BI and visual discovery while helping to automate any
manual process at the client site.
* Work closely with the Engineering Manager to ensure prioritization of
customer deliverables.
* Champion data quality, integrity, and reliability throughout the organization by
designing and promoting best practices.
*Implementation 20%
* Help DW/DE team members with issues needing technical expertise or
complex systems and/or programming knowledge.
* Provide on-the-job training for new or less experienced team members.
* Develop a technical excellence team
Requirements
- experience designing business intelligence solutions
- experience with ETL Process, Data warehouse architecture
- experience with Azure Data services i.e., ADF, ADLS Gen 2, Azure SQL dB,
Synapse, Azure Databricks, and Power BI
- Good analytical and problem-solving skills
- Fluent in relational database concepts and flat file processing concepts
- Must be knowledgeable in software development lifecycles/methodologies
- 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
PHP- Experience in Developing QlikView / Qlik Sense BI visualizations and dashboards. QlikSense and NPrintiing experience is a must.
- Strong knowledge of building Qlik Sense dashboards applying business rules and data validations.
- In-depth understanding of Qlik Sense Server Architecture, building QVDs and QVFs, applying business rules and data validations.
- Familiarity with charts and graphs, creating complex visualizations for dynamic aggregation Good Knowledge of Incremental data loading concepts and data modeling.
- Additionally, Qlik developers have to troubleshoot issues and provide the necessary solution
• Proficient in PowerBI
• Bonus for proficient coding skills in R / Python. Master-level skills in SQL and query languages
• 2+ years of experience working with visualization tools such as PowerBI Tableau, Qlik etc.
• Excellent written and verbal communication skills
• Ability to proficiently come up to business requirements/model and gain good understanding of business metrics
• Excellent organizational, presentation, analytical, written and verbal communication
• Understand efficient coding standards and has a knack to plan for QC checks
• Added advantage if you understand Cloud hosting, customizing visualization tools using DAX,data integration with analytical data-streams
Desired Skills and Experience:
• Be a consultant to our clients. Think out-of-the-box and develop visualization solutions which help clients in solving their business problems
• Tremendous passion towards learning is a must. You must be able to merge the art of consulting and the science of Design in visualization
• Drive and energy to work hard and achieve success in an entrepreneurial environment
• Should have hands-on experience in delivering projects across multiple industries and analytics
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 the Project Manager to understand the requirement
Dashboard designing, development and deployment using Tableau eco-system
Ensure delivery within a 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 an example in
his/her conduct, work ethic, integrity and character
Contribute in dashboard designing, R&D and project delivery using Tableau
Candidate’s Profile
Academics:
Batchelor’s degree preferable in Computer science.
Master’s degree would have an added advantage.
Experience:
Overall 2-5 Years of experience in DWBI development projects, having worked on BI and
Visualization technologies (Tableau, Qlikview) for at least 2 years.
At least 2 years of experience covering Tableau implementation lifecycle including hands-on development/programming, managing security, data modelling, 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
Follow CutshortSubodh Popalwar
Software Engineer, Memorres