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Senior Director – Strategy (Data & Analytics)
The client is a leading media agency who drive more strategic, creative and integrated media approach established to drive better business results. Their team is made up of best in class digital, offline, and integrated media experts who work together to enhance media's contribution to their client's business.
Responsibilities of the role:
We are looking for a talented Director to join our leadership team and manage the delivery of data engineering projects . In this role, you will be responsible to manage a team of highly skilled engineers, scientists and analysts to deliver data-driven solutions to exceed client goals.
As the Director, Data and Analytics, you will work with the agency and client to enable the data and tech solutions that lay the foundation for executing brand & performance marketing.
- Set the vision, strategy, and roadmap to deliver cutting edge data, technology and analytics solutions across a portfolio of clients .
- Become a trusted advisor to clients and consult on growth opportunities and identify new way to use data to solve business challenges and support growth,
- Support development and deployment of products and services across multiple cloud environments
- Collaborate with a cross-functional team of client leads, application developers, operations engineers, and architects to translate complex product requirements into technical specs and design requirements
- Act as a consultant and subject matter expert for internal stakeholders in GroupM Data & Analytics, GroupM Engineering and agency data science and tech leads
- Build & manage a team of experts in Data Strategy, Measurement/Business Analysts, Advanced Analytics, and Marketing Technology specialists to deliver best in class audience, measurement strategy in collaboration with Client, Strategy, and Investment teams.
What you will need:
· 7+ years of experience in data analytics / quantitative research
- Proven thought-leadership, and a deep understanding of the data and technology issues facing the marketing industry
- Experience building, managing and inspiring large and diverse teams of data and technology specialists
- 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.
· Master’s or Bachelor’s in Statistics, Mathematics or related quantitative field
Role - Senior Analytics Executive
Experience - 1-2 years
Location - Open (Remote working option available)
About Company :-
Our team is made up of best in class digital, offline, and integrated media experts who work together to enhance media's contribution to Google's business. Our team operates in a seamlessly integrated way across strategy, planning, investment, creative, business sciences and analytics, data and technology. The profile of people who work are world class, committed to establishing a new high water mark in the media industry.
About the role/ Some of the things we'd like you to do:
- Support the Analytics team and other stakeholders with analytics agendas impacting campaigns, measurement frameworks, and campaign optimization.
- Conduct thorough data analysis using various tools and software within MFG to provide insights and recommendations that align with client needs.
- Collaborate with internal stakeholders across disciplines and countries to understand client objectives, providing support and expertise in data and analytics while identifying opportunities for advanced analytics solutions.
- Formulate strategic recommendations with the team based on gathered insights, and support the delivery of reporting for clients.
- Continuously improve project performance and processes by collaborating with the team to develop new tools and solutions.
About yourself/ Requirements:
- Bachelor's degree in a related quantitative field (e.g. Statistics, Business Analytics, Economics, Computer Science, etc.)
- 1-2 years of relevant work experience in data analysis; digital media experience desired
- Strong knowledge of various data analysis tools and software (e.g., Excel, SQL, R, Python, Tableau).
- Is proficient in statistical principles and how they apply to tasks/work items.
- Excellent problem-solving skills and the ability to analyze complex data sets.
- Strong communication and interpersonal skills, with the ability to present data-driven insights to both technical and non-technical audiences.
- Ability to work independently and as part of a team, with strong collaboration skills.
- Demonstrated ability to manage multiple projects and prioritize tasks effectively.
- Passion tor continuous learning and staying current with industry trends and best practices in analytics.
Brief:
As a BI Developer at GradRight, you’ll be working with Tableau and supporting data sources to build reports for the requirements of various business teams.
Responsibilities:
- Translate business needs to technical specifications for reports and dashboards
- Design, build and deploy BI solutions
- Maintain and support data analytics platforms (e.g. Tableau, Mixpanel, Google Analytics, etc)
- Evaluate and improve existing BI systems
- Collaborate with teams to integrate systems
- Develop and execute database queries, conduct analysis and prepare data to be shared with respective stakeholders
- Create visualizations and reports for requested projects
- Develop and update technical documentation around reports
Requirements:
- At least 3 years of proven experience as a BI Developer
- Experience at a startup
- Background in data warehouse design (e.g. dimensional modeling) and data mining
- In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
- Working knowledge of Tableau
- Knowledge of SQL queries and MongoDB
- Proven abilities to take initiative and be innovative
- Analytical mind with a problem-solving aptitude
We are looking for candidates who have demonstrated both a strong business sense and deep understanding of the quantitative foundations of modelling.
• Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
• Statistical programming software experience in SPSS and comfortable working with large data sets.
• R, Python, SAS & SQL are preferred but not a mandate
• Excellent time management skills
• Good written and verbal communication skills; understanding of both written and spoken English
• Strong interpersonal skills
• Ability to act autonomously, bringing structure and organization to work
• Creative and action-oriented mindset
• Ability to interact in a fluid, demanding and unstructured environment where priorities evolve constantly, and methodologies are regularly challenged
• Ability to work under pressure and deliver on tight deadlines
Qualifications and Experience:
• Graduate degree in: Statistics/Economics/Econometrics/Computer
Science/Engineering/Mathematics/MBA (with a strong quantitative background) or
equivalent
• Strong track record work experience in the field of business intelligence, market
research, and/or Advanced Analytics
• Knowledge of data collection methods (focus groups, surveys, etc.)
• Knowledge of statistical packages (SPSS, SAS, R, Python, or similar), databases,
and MS Office (Excel, PowerPoint, Word)
• Strong analytical and critical thinking skills
• Industry experience in Consumer Experience/Healthcare a plus
WHAT YOU WILL DO:
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● Create and maintain optimal data pipeline architecture.
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● Assemble large, complex data sets that meet functional / non-functional business requirements.
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● Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
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● Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide
variety of data sources using Spark,Hadoop and AWS 'big data' technologies.(EC2, EMR, S3, Athena).
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● Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition,
operational efficiency and other key business performance metrics.
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● Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
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● Keep our data separated and secure across national boundaries through multiple data centers and AWS
regions.
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● Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
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● Work with data and analytics experts to strive for greater functionality in our data systems.
REQUIRED SKILLS & QUALIFICATIONS:
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● 5+ years of experience in a Data Engineer role.
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● Advanced working SQL knowledge and experience working with relational databases, query authoring
(SQL) as well as working familiarity with a variety of databases.
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● Experience building and optimizing 'big data' data pipelines, architectures and data sets.
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● Experience performing root cause analysis on internal and external data and processes to answer
specific business questions and identify opportunities for improvement.
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● Strong analytic skills related to working with unstructured datasets.
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● Build processes supporting data transformation, data structures, metadata, dependency and workload
management.
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● A successful history of manipulating, processing and extracting value from large disconnected datasets.
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● Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
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● Strong project management and organizational skills.
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● Experience supporting and working with cross-functional teams in a dynamic environment
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● Experience with big data tools: Hadoop, Spark, Pig, Vetica, etc.
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● Experience with AWS cloud services: EC2, EMR, S3, Athena
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● Experience with Linux
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● Experience with object-oriented/object function scripting languages: Python, Java, Shell, Scala, etc.
PREFERRED SKILLS & QUALIFICATIONS:
● Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
In this role, we are looking for:
- A problem-solving mindset with the ability to understand business challenges and how to apply your analytics expertise to solve them.
- The unique person who can present complex mathematical solutions in a simple manner that most will understand, using data visualization techniques to tell a story with data.
- An individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice.
- A team mentality, empowered by the ability to work with a diverse set of individuals.
- A passion for data, with a particular emphasis on data visualization.
Basic Qualifications
- A Bachelor’s degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on data analytics.
- 5+ Years professional experience, preferably in a data analyst / data scientist role or similar, with proven results in a data analyst role.
- 3+ Years professional experience in a leadership role guiding high-performing, data-focused teams with a track record of building and developing talent.
- Proficiency in your statistics / analytics / visualization tool of choice, but preferably in the Microsoft Azure Suite, including PowerBI and/or AzureML.
Responsibilities:
- Improve robustness of Leena AI current NLP stack
- Increase zero shot learning capability of Leena AI current NLP stack
- Opportunity to add/build new NLP architectures based on requirements
- Manage End to End lifecycle of the data in the system till it achieves more than 90% accuracy
- Manage a NLP team
Page BreakRequirements:
- Strong understanding of linear algebra, optimisation, probability, statistics
- Experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale and model evaluation
- Experience in deploying NLP architectures in production
- Understanding of latest NLP architectures like transformers is good to have
- Experience in adversarial attacks/robustness of DNN is good to have
- Experience with Python Web Framework (Django), Analytics and Machine Learning frameworks like Tensorflow/Keras/Pytorch.