Power BI Developer/ Data Analyst

• Deliver full-cycle Tableau development projects, from business needs assessment and data discovery, through solution design, to delivery to client.

• Enable our clients and ourselves to answer questions and develop data-driven insights through Tableau.

• Provide technical leadership and support across all aspects of Tableau development and use, from data specification development, through DataMart development, to supporting end-user dashboards and reports.

• Administrate Tableau Server by creating sites, add/remove users, and provide the appropriate level access for users.

• Strategize and ideate the solution design. Develop UI mock-ups, storyboards, flow diagrams, conceptual diagrams, wireframes, visual mockups, and interactive prototypes.

• Develop best practices guidelines for Tableau data processing and visualization. Use these best practices to quickly deliver functionality across the client base and internal users.

• Degree in a highly-relevant analytical or technical field, such as statistics, data science, or business analytics.

· 5+ years as a Tableau developer and administrator.

· Extensive experience with large data sets, statistical analyses, and visualization as well as hands-on experience on tools (SQL, Tableau, Power BI).

· Ability to quickly learn and take responsibility to deliver.

• Good experience on Power BI Visualizations, DAX queries in Power BI
• Experience in implementing Row Level Security
• Can understand data models, can implement simple-medium data models
• Quick learner to pick up the Application data design and processe

• Expert in SQL, Analyze current ETL/SSIS process
• Hands on experience in data modeling  
• Quick learner to pick up the Application data design and processes
• Data warehouse development and work with SSIS & SSAS (Good to have)

•Can lead a  team of 2-3 developers and own deliverables

Role - Analytics Associate Director

About our Client :-

Our Client is a global data and measurement-driven media agency whose mission is to make brands more valuable to the world. Clients include Google, Flipkart, NBCUniversal, L'Oréal and the Financial Times. The agency is more than 2,000 people strong, manages $4.5B in annualized media spend, and deploys campaigns in 121 markets via 22 offices in APAC, EMEA and the Americas.

About the role :-

Accountable for quantifying and measuring the success of our paid media campaigns and for delivering insights that enable us to innovate the work we deliver at MFG. Leading multi-product projects, developing best practices, being the main point of contact for other teams and direct line management for multiple team members.

Some of the things we’d like you to do -

● Build a deep understanding of marketing plans and their objectives to help Account teams (Activation, Planning, etc) build comprehensive measurement, and test & learn plans
● Play an instrumental role in evolving and designing new, innovative measurement tools. Managing the process through to delivery and take ownership of global roll out
● Recruit, manage and mentor analytical resource(s), ensuring the efficient flow of work through the team, the timely delivery of high-quality outputs and their continuing development as professionals
● Lead the creation of clear, robust and thought-provoking campaign reviews and insights
● Work with Account teams (Activation, Planning, etc) to help define the correct questions to understand correct metrics for quantifying campaign performance
● To help deliver “best in class” analytical capabilities across the agency with the wider Analytics team, including the use of new methods, techniques, tools and systems
● Develop innovative marketing campaigns and assist clients to define objectives
● Develop deep understanding of marketing platform testing and targeting abilities, and act in a consultative capacity in their implementation
● Provide hands-on leadership, mentorship, and coaching in the expert delivery of data strategies, AdTech solutions, audiences solutions and data management solutions to our clients
● Leading stakeholder management on certain areas of the client portfolio
● Coordination and communication with 3rd party vendors to critically assess new/bespoke measurement solutions. Includes development and management of contracts and SOWs.

A bit about yourself -

● 8+ years of experience in a data & insight role; practical experience on how analytical techniques/models are used in marketing. Previous agency, media, or consultancy background is desirable.
● A proven track record in working with a diverse array of clients to solve complex problems and delivering demonstrable business success. Including (but not limited to) the development of compelling and sophisticated data strategies and AdTech / martech strategies to enable
marketing objectives.
● Ideally you have worked with Ad Platforms, DMPs, CDPs, Clean Rooms, Measurement Platforms, Business Intelligence Tools, Data Warehousing and Big Data Solutions to some degree
● 3+ years of management experience and ability to delegate effectively
● Proficiency with systems such as SQL, Social Analytics tools, Python, and ‘R’
● Understand measurement for both Direct Response and Brand Awareness campaigns desired
● Excellent at building and presenting data in a visually engaging and insightful manner that cuts through the noise
● Strong organizational and project management skills including team resourcing
● Strong understanding of what data points can be collected and analyzed in a digital campaign, and how each data point should be analyzed
● Established and professional communication, presentation, and motivational skills

1. 2 to 4 years of experience
2. hands on experience using python, sql, tablaue
3. Data Analyst 

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

 

Key Responsibilities:

• Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
• Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
• Generate clearly understood and intuitive data science / advanced analytics outputs.
• Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
• Participate in best practice sharing and communication platform for advancement of the data science discipline.
• Coach and collaborate with other data scientists and data analysts.
• Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

• Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
• 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
• Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
• Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
• Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
• Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
• Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
• Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
• Strong written and verbal communications skills, as well as presentation skills.

 

Project Role Description:

• Manages the delivery of large, complex Data Science projects using appropriate frameworks and collaborating with stake holders to manage scope and risk. Help the AI/ML Solution
• Analyst to build solution as per customer need on our platform Newgen AI Cloud. Drives profitability and continued success by managing service quality and cost and leading delivery. Proactively support sales through innovative solutions and delivery excellence.
•  

Work Experience:12+ years
Work location: Gurugram

Key Responsibilities:
1 Collaborate/contribute to all project phases, technical know to design, develop solutions and deploy at customer end.
2 End-to-end implementations i.e. gathering requirements, analysing, designing, coding, deployment to Production
3 Client facing role talking to client on regular basis to get requirement clarification
4. Lead the team

Core Tech Skills: Azure, Cloud Computing, Java/Scala, Python, Design Patterns and fair knowledge of Data Science. Fair Knowledge of Data Lake/DWH
Educational Qualification: Engineering graduate preferably Computer since graduate

• Key responsibility is to design and develop a data pipeline including the architecture, prototyping, and development of data extraction, transformation/processing, cleansing/standardizing, and loading in Data Warehouse at real-time/near the real-time frequency. Source data can be structured, semi-structured, and/or unstructured format.
• Provide technical expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of  Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
• Development of complex data transformation using Talend (BigData edition), Python/Java transformation in Talend, SQL/Python/Java UDXs, AWS S3, etc to load in OLAP Data Warehouse in Structured/Semi-structured form
• Development of data model and creating transformation logic to populate models for faster data consumption with simple SQL.
• Implementing automated Audit & Quality assurance checks in Data Pipeline
• Document & maintain data lineage to enable data governance
• Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc

Requirements

• Programming experience using Python / Java, to create functions / UDX
• Extensive technical experience with SQL on RDBMS (Oracle/MySQL/Postgresql etc) including code optimization techniques
• Strong ETL/ELT skillset using Talend BigData Edition. Experience in Talend CDC & MDM functionality will be an advantage.
• Experience & expertise in implementing complex data pipelines, including semi-structured & unstructured data processing
• Expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of  Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
• Good understanding & working experience in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) and cloud-native Data Lake (S3, ADLS, BigQuery, etc) solutions
• Familiarity with AWS tool stack for Storage & Processing. Able to recommend the right tools/solutions available to address a technical problem
• Good knowledge of database performance and tuning, troubleshooting, query optimization, and tuning
• Good analytical skills with the ability to synthesize data to design and deliver meaningful information
• Good knowledge of Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model
• Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
• Ability to understand business functionality, processes, and flows
• Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently

Functional knowledge

• Data Governance & Quality Assurance
• Distributed computing
• Linux
• Data structures and algorithm
• Unstructured Data Processing

Preferred Education & Experience:

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics or related technical field or equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 5+ years of hands-on demonstrable experience with:
  ▪ Data Analysis & Data Modeling
  ▪ Database Design & Implementation
  ▪ Database Performance Tuning & Optimization
  ▪ PL/pgSQL & SQL

• 5+ years of hands-on development experience in Relational Database (PostgreSQL/SQL Server/Oracle).

• 5+ years of hands-on development experience in SQL, PL/PgSQL, including stored procedures, functions, triggers, and views.

• Hands-on experience with demonstrable working experience in Database Design Principles, SQL Query Optimization Techniques, Index Management, Integrity Checks, Statistics, and Isolation levels

• Hands-on experience with demonstrable working experience in Database Read & Write Performance Tuning & Optimization.

• Knowledge and Experience working in Domain Driven Design (DDD) Concepts, Object Oriented Programming System (OOPS) Concepts, Cloud Architecture Concepts, NoSQL Database Concepts are added values

• Knowledge and working experience in Oil & Gas, Financial, & Automotive Domains is a plus

• Hands-on development experience in one or more NoSQL data stores such as Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc. a plus.

Data Analyst Job Description :
About GlowRoad:
GlowRoad is building India's most profitable social e-commerce platform where resellers share
the catalog of products through their network on Facebook, Whatsapp, Instagram, etc and
convert them to sales. GlowRoad is on a mission to create micro-entrepreneurs (resellers) who can set up their web-store, market their products and track all transactions through its platform.
GlowRoad app has ~15M downloads and 1- million + MAU's.-
GlowRoad has been funded by global VCs like Accel Partners, CDH, KIP and Vertex Ventures and recently raised series C Funding. We are scaling our operations across India.-
GlowRoad is looking for team members passionate about building platforms for next billion
users and reimagining e-commerce for mobile-first users. A great environment, a fun, open,
energetic and creative environment. Approachable leadership, filled with passionate people, Open communication and provides high growth for employees.
Role:
● Gather, process/analyze and report business data across departments
● Report key business data/metrics on a regular basis (daily, weekly and monthly
as relevant)
● Structure concise reports to share with management
● Work closely with Senior Analysts to create data pipelines for Analytical
Databases for Category, Operations, Marketing, Support teams.
● Assist Senior Analysts in projects by learning new reporting tools like Power BI
and advanced analytics with R
Basic Qualifications
● Engineering Graduate
● 6- 24 months of Hands on experience with SQL, Excel, Google Spreadsheets
● Experience in creating MIS/Dashboards in Excel/Google Spreadsheets
● Strong in Mathematics
● Ability to take full ownership in terms of timeline and data sanity with respect to
reports
● Basic Verbal and Written English Communication

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 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