Data Insights & Analyst

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.

Job Title -Data Scientist

Job Duties

1. Data Scientist responsibilities includes planning projects and building analytics models.
2. You should have a strong problem-solving ability and a knack for statistical analysis.
3. If you're also able to align our data products with our business goals, we'd like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data.

Responsibilities

Own end-to-end business problems and metrics, build and implement ML solutions using cutting-edge technology.

Create scalable solutions to business problems using statistical techniques, machine learning, and NLP.

Design, experiment and evaluate highly innovative models for predictive learning

Work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations

Establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation.

Research and implement novel machine learning and statistical approaches.

Requirements

2-5 years of experience in data science.

In-depth understanding of modern machine learning techniques and their mathematical underpinnings.

Demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.

Strong programming skills (Python, Java)

High proficiency in at least one of the following broad areas: machine learning, statistical modelling/inference, information retrieval, data mining, NLP

Experience with SQL and NoSQL databases

Strong organizational and leadership skills

Excellent communication skills

ketteQ is a supply chain planning and automation platform. We are looking for extremely strong and experienced Technical Consultant to help with system design, data engineering and software configuration and testing during the implementation of supply chain planning solutions. This job comes with a very attractive compensation package, and work-from-home benefit. If you are high-energy, motivated, and initiative-taking individual then this could be a fantastic opportunity for you.

Responsible for technical design and implementation of supply chain planning solutions.   

Responsibilities

• Design and document system architecture
• Design data mappings
• Develop integrations
• Test and validate data
• Develop customizations
• Deploy solution
• Support demo development activities

Requirements

• Minimum 5 years experience in technical implementation of Enterprise software preferably Supply Chain Planning software
• Proficiency in ANSI/postgreSQL
• Proficiency in ETL tools such as Pentaho, Talend, Informatica, and Mulesoft
• Experience with Webservices and REST APIs
• Knowledge of AWS
• Salesforce and Tableau experience a plus
• Excellent analytical skills
• Must possess excellent verbal and written communication skills and be able to communicate effectively with international clients
• Must be a self-starter and highly motivated individual who is looking to make a career in supply chain management
• Quick thinker with proven decision-making and organizational skills
• Must be flexible to work non-standard hours to accommodate globally dispersed teams and clients

Education

• Bachelors in Engineering from a top-ranked university with above average grades

Graas uses predictive AI to turbo-charge growth for eCommerce businesses. We are “Growth-as-a-Service”. Graas is a technology solution provider using predictive AI to turbo-charge growth for eCommerce businesses. Graas integrates traditional data silos and applies a machine-learning AI engine, acting as an in-house data scientist to predict trends and give real-time insights and actionable recommendations for brands. The platform can also turn insights into action by seamlessly executing these recommendations across marketplace store fronts, brand.coms, social and conversational commerce, performance marketing, inventory management, warehousing, and last mile logistics - all of which impacts a brand’s bottom line, driving profitable growth.

Roles & Responsibilities:

Work on implementation of real-time and batch data pipelines for disparate data sources.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.
• Build and maintain an analytics layer that utilizes the underlying data to generate dashboards and provide actionable insights.
• Identify improvement areas in the current data system and implement optimizations.
• Work on specific areas of data governance including metadata management and data quality management.
• Participate in discussions with Product Management and Business stakeholders to understand functional requirements and interact with other cross-functional teams as needed to develop, test, and release features.
• Develop Proof-of-Concepts to validate new technology solutions or advancements.
• Work in an Agile Scrum team and help with planning, scoping and creation of technical solutions for the new product capabilities, through to continuous delivery to production.
• Work on building intelligent systems using various AI/ML algorithms. 

Desired Experience/Skill:

• Must have worked on Analytics Applications involving Data Lakes, Data Warehouses and Reporting Implementations.
• Experience with private and public cloud architectures with pros/cons.
• Ability to write robust code in Python and SQL for data processing. Experience in libraries such as Pandas is a must; knowledge of one of the frameworks such as Django or Flask is a plus.
• Experience in implementing data processing pipelines using AWS services: Kinesis, Lambda, Redshift/Snowflake, RDS.
• Knowledge of Kafka, Redis is preferred
• Experience on design and implementation of real-time and batch pipelines. Knowledge of Airflow is preferred.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

What we look for: 

We are looking for an associate who will be doing data crunching from various sources and finding the key points from the data. Also help us to improve/build new pipelines as per the requests. Also, this associate will be helping us to visualize the data if required and find flaws in our existing algorithms. 

Responsibilities: 

• Work with multiple stakeholders to gather the requirements of data or analysis and take action on them. 
• Write new data pipelines and maintain the existing pipelines. 
• Person will be gathering data from various DB’s and will be finding the required metrics out of it. 

Required Skills: 

• Experience with python and Libraries like Pandas,and Numpy. 
• Experience in SQL and understanding of NoSQL DB’s. 
• Hands-on experience in Data engineering. 
• Must have good analytical skills and knowledge of statistics. 
• Understanding of Data Science concepts. 
• Bachelor degree in Computer Science or related field. 
• Problem-solving skills and ability to work under pressure. 

Nice to have: 

• Experience in MongoDB or any NoSql DB. 
• Experience in ElasticSearch. 
• Knowledge of Tableau, Power BI or any other visualization tool.

• Expert software implementation and automated testing
• Promoting development standards, code reviews, mentoring, knowledge sharing
• Improving our Agile methodology maturity
• Product and feature design, scrum story writing
• Build, release, and deployment automation
• Product support & troubleshooting

Who we have in mind: 

• Demonstrated experience as a Java
• Should have a deep understanding of Enterprise/Distributed Architecture patterns and should be able to demonstrate the relevant usage of the same
• Turn high-level project requirements into application-level architecture and collaborate with the team members to implement the solution
• Strong experience and knowledge in Spring boot framework and microservice architecture
• Experience in working with Apache Spark
• Solid demonstrated object-oriented software development experience with Java, SQL, Maven, relational/NoSQL databases and testing frameworks 
• Strong working experience with developing RESTful services
• Should have experience working on Application frameworks such as Spring, Spring Boot, AOP
• Exposure to tools – Jira, Bamboo, Git, Confluence would be an added advantage
• Excellent grasp of the current technology landscape, trends and emerging technologies