Senior Executive – Analytics (Datorama)
Hi,
About the co.–Our client is an agency of the world’s largest media investment company which is a part of WPP. It is a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.
Job Location: Gurgaon/Bangalore
Responsibilities of the role:
Manage extraction of data sets from multiple marketing/database platforms and perform hygiene and quality control steps, either via Datorama or in partnership with Neo Technology team. Data sources will include: web analytic tools, media analytics, customer databases, social listening tools, search tools, syndicated data, research & survey tools, etc…
Implement and manage data system architecture Audit and manage data taxonomy/classifications from multiple systems and partners
Manage the extraction, loading, and transformation of multiple data sets
Cleanse all data and metrics; perform override updates where necessary
Execute all business rules according to requirements Identify and implement opportunities for efficiency throughout the process.
Manage and execute thorough QA process and ensure quality and accuracy of all data and reporting deliverables
Manipulate and analyze “big” data sets synthesized from a variety of sources, including media platforms and marketing automation tools
Generate and manage all data visualizations and ensure data is presented accurately and is visually pleasing
Assist analytics team in running numerous insights reports as needed Help maintain a performance platform and provide insights and ongoing recommendations around.
What you will need:
3+ years’ experience in an analytics position working with large amounts of data
Hands-on experience working with data visualization tools such as Datorama, Tableau, or PowerBI Additional desirable skills include tag management experience, application coding experience, statistics background
Digital media experience background preferred, including knowledge of Doubleclick and web analytics tools
2 hour overlap with NY or Chicago in the morning (EST or CST time zones)
Excellent communication skills
Regards
Team Merito
About The world’s largest media investment company
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• Manage the analytics vertical end to end from setting up a platform grounds (a data lake equivalent) and deliver business value through analytics for starters and gradually by bringing in intelligence in everything we do.
• Play a key role in transforming the company into an intelligent enterprise.
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continuously delivering business value through data
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• 5 - 7 years experience in a similar role
• Bachelor’s degree in computer science/ analytics
• Master’s degree (business administration/equivalent) with a focus on Analytics, data science
• Good verbal and written communication skills
• Good networking skills
• Thrives in a dynamic, unstructured environment and transcends job boundaries and descriptions.
- Own the product analytics of bidgely’s end user-facing products, measure and identify areas of improvement through data
- Liaise with Product Managers and Business Leaders to understand the product issues, priorities and hence support them through relevant product analytics
- Own the automation of product analytics through good SQL knowledge
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- Own the Energy Efficiency program designs, dashboard development, and monitoring of existing Energy efficiency program
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- Mentor team of analysts
Qualifications and Education Requirements
- B.Tech from a premier institute with 5+ years analytics experience or Full-time MBA from a premier b-school with 3+ years of experience in analytics/business or product analytics
- Bachelor's degree in Business, Computer Science, Computer Information Systems, Engineering, Mathematics, or other business/analytical disciplines
Skills needed to excel
- Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause
analyses - Excellent understanding of retention, churn, and acquisition of user base
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analytics - Ability to put yourself in the shoes of the end customer and understand what
“product excellence” means - Ability to rethink existing products and use analytics to identify new features and product improvements.
- Ability to rethink existing processes and design new processes for more effective analyses
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- Strong commitment to quality visible in the thoroughness of analysis and techniques employed
- Strong project management and leadership skills
- Excellent communication (oral and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
- Ability to coach and mentor analysts on technical and analytical skills
- Good knowledge of statistics, basic machine learning, and AB Testing is
preferable - Experience as a Growth hacker and/or in Product analytics is a big plus
DATA ANALYST
About:
We allows customers to "buy now and pay later" for goods and services purchased online and offline portals. It's a rapidly growing organization opening up new avenues of payments for online and offline customers. |
Role:
Define and continuously refine the analytics roadmap. Build, Deploy and Maintain the data infrastructure that supports all of the analysis, including the data warehouse and various data marts Build, deploy and maintain the predictive models and scoring infrastructure that powers critical decision management systems. Strive to devise ways to gather more alternate data and build increasingly enhanced predictive models Partner with business teams to systematically design experiments to continuously improve customer acquisition, minimize churn, reduce delinquency and improve profitability Provide data insights to all business teams through automated queries, MIS, etc. |
Requirements:
4+ years of deep, hands-on analytics experience in a management consulting, start-up or financial services, or fintech company. Should have strong knowledge in SQL and Python. Deep knowledge of problem-solving approach using analytical frameworks. Deep knowledge of frameworks for data management, deployment, and monitoring of performance metrics. Hands-on exposure to delivering improvements through test and learn methodologies. Excellent communication and interpersonal skills, with the ability to be pleasantly persistent. |
Location-MUMBAI
ROLE & RESPONSIBILITIES:
- To coordinate with the sales team to deliver proposals, solutions etc. (including Request for proposals, request for information, idea and solution generation, road-map creation, and more)
- Coordinate with the tech team to generate appropriate project estimates and to come up with execution timelines and milestones.
- Where relevant, support sales team by presenting solution to prospects and clients.
- Ensure that the proposed (technical) solution is suitable for development, its associated architecture and also get the timelines required to develop the proposed scope.
- To build knowledge repository for further business development.
- To prepare case studies of all projects.
- Be updated with latest industry and technology trends, and to market research.
- Conduct account specific research on key accounts.
- Create solution frameworks for industries / domain we choose to play in.
- Provide support to sales team for any presentations and collaterals on our service offerings.
- Create and maintain a catalogue of service offerings along with necessary collateral in terms of presentations, documents etc.
QUALITIES & QUALIFICATIONS:
- Strong communication skills, written as well as oral
- Good sense of design
- Strong analytical and problem-solving capabilities
- Familiarity with digital technologies (trends, key players, and more) as well as with software -
developmentprocess, methodologies, standard practices and conventions, and so on.
- MBA from a reputed institution
- Strong research skills, especially with regard to scanning financial reports, industry data trends,
and so on.
Kindly note that candidates who have graduated in 2022 and 2023 only will be considered for the role who are based in Mumbai, immediate joiners
JD - Data Operations Analyst
What is the job and team like
- As a Data Operations Analyst we manage business reporting of numerous teams, constantly monitor performance
- Checking the integrity of the revenue reporting done by the different systems for the correct profitability to be
- reported to the CXOs
- Send reports periodically and alert stakeholders for changes in the key performance metrics
- Allocate efforts to different Business Implementations that help build Profit/Loss statement for the Financials.
- Track crucial data points which affect the core of the business and escalate it to senior stakeholders
Roles and Responsibilities
- Graduate in IT Background(BE/BSc IT/ BCA) 2022 and 2023 graduates only
- Executing a set of business processes daily/weekly/monthly as per Business requirement.
- Provide ad-hoc data support on any urgent reports and material in an expedited manner
- Maintain a list of open tasks and escalations, and send updates to the relevant stakeholders
- Have an eye for detail, should have the ability to look at numbers, spot trends and identify gaps
- Identify efficient and meaningful ways to communicate data and analysis through ongoing reports and dashboards
- Proficiency in SQL, Excel and any statistical and analytical tools such as SAS, SPSS is a big plus
- Managing master data, including creation, updates, and deletion.
- Ability to work in a fast paced, technical, cross functional environment
- Familiarity with Internet Industry and Online Advertising Business is a plus
Ideal candidate
- Import and export large volume of data to database tables as required
- Should be able to write Data Definition Language or Data Manipulation Language SQL commands
- Develop programs, methodologies to get analyzable data on a regular basis
- Good team player and multi-tasker
- Should have the ability to learn and adapt to change
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Job Details
Work mode- In office
Must have skills - SQL, MS Excel, Communications
2. Expert in Excel skills, Google sheet, and Google app coding
3. Good communication skills in English, Hindi
4. Good follow-up skills
5. Maths should be good
6. Ready to learn attitude is the most important
Senior Database (PL/SQL)
Work Experience: 8+ Years
Number of Vacancies: 2
Location:
CTC: As per industry standards
Job Position: Oracle PLSQL Developer.
Required: Oracle Certified Database Developer
Key Skills:
- Must have basic knowledge in SQL Queries, Joins, DDL, DML, TCL, Types, Object, Collection Developer. Basic Oracle PLSQL programming experience (Procedures, packages, functions, exceptions.
- Develop, implement, and optimize stored procedures and functions using PLSQL
- Writing basic Queries, Package, Procedures, Functions, Triggers, Ref Cursors, Using Oracle 11g to 19c features, including triggers, stored procedures, queries, SQL Code, and design (stored procedures, functions, packages, tables, views, triggers, indexes, constraints, collections, bulk collects, etc..).
- Must have basic knowledge in PL/SQL Developer tool.
- Basic knowledge of MySql & Mongo DBA
- Strong communication skills
- Good interpersonal and teamwork skills
- PL/SQL, stored, procedure, functions, trigger
- Bulk Collection
- Utl_file
- Materilized View
- Performance handling
- Usage of Hint in Queries
- JSON (json object, json table, json queries)
- BLOB CLOB concept
- External table
- Dynamic SQL
Advanced degree in computer science, math, statistics or a related discipline ( Must have master degree )
Extensive data modeling and data architecture skills
Programming experience in Python, R
Background in machine learning frameworks such as TensorFlow or Keras
Knowledge of Hadoop or another distributed computing systems
Experience working in an Agile environment
Advanced math skills (Linear algebra
Discrete math
Differential equations (ODEs and numerical)
Theory of statistics 1
Numerical analysis 1 (numerical linear algebra) and 2 (quadrature)
Abstract algebra
Number theory
Real analysis
Complex analysis
Intermediate analysis (point set topology)) ( important )
Strong written and verbal communications
Hands on experience on NLP and NLG
Experience in advanced statistical techniques and concepts. ( GLM/regression, Random forest, boosting, trees, text mining ) and experience with application.