Data Analytics Manager Job Vacancy in Ericsson Bengaluru, Karnataka – Updated today

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Full Details :
Company Name : Ericsson
Location : Bengaluru, Karnataka
Position :

Job Description : About this opportunity
At Ericsson, you can be a game-changer! Because working here isn’t just a deal. It’s a big deal. This means that you get to demonstrate our 140+ years of experience and the expertise of more than 95,000 varied colleagues worldwide. As part of the team, you will help address some of society´s most complicated challenges, enabling you to be ‘the person that did that.’ We’ve never had a greater opportunity to inspire change; setting the bar for technology to be inclusive and accessible; empowering a resourceful, sustainable, and connected world.
As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you’re welcomed as your own detailed unique self and celebrated for the skills, talent, and perspective you bring to the team. Are you in?
Come, and be where it begins.
Are you in?
Our Exciting Opportunity
Group Data and Analytics is a function to craft and implement our Analytics and AI strategy, vision and to ensure multi-functional execution for Ericsson to transform into a dedicated enterprise. AI and Data is key theme to becoming data-driven. We continue to build up extraordinary competence in this area to increase performance, deliver intelligence, and to provide secure and scalable development, deployment, and continued operations of Analytics and AI solutions including Data Services.
The Data & Analytics engineer chapter is responsible for implementing the end-to-end data transformations from ingestion, to consumption, ensuring a governed, and structured use-cases consumption. We have a validated focus on data quality and code quality, enhancing functional and non-functional requirements, and ensuring scalable and performant processes while demonstrating PaaS and IaaS components. Design and maintain the data assets to meet the customer’s needs.
Chapter Node Lead is a practitioner, an inspiring leader, a topic leader, and a line manager for chapter members or Senior members. The Chapter Node Lead is responsible to build up and evolve chapter member capabilities to enable them to efficiently implement their work in product teams. The Chapter Node Lead is also a practitioner and can be deployed into product teams. The Chapter Node Lead is an authoritative leader and an advocate for the product oriented ways of working. The Chapter Node Lead shall create and ensure Customer/Stakeholder value and satisfaction through management and leadership skills.
What we believe in!
We believe in trust– we trust each other to do the right things. Therefore, we believe in taking decisions as close to the product and technical expertise as possible!
We believe in creativity – trying new things and learning from our mistakes. We believe in sharing our insights and helping one another to build an even better user plane.
We truly believe in happiness, we enjoy and feel passionate about what we do and value each other’s technical competence deeply
What you will do
Be a Strategic leader
Ensure alignment to overall IT strategies, processes, and models
Supply directly and indirectly to one or several leadership teams, strategic, tactical, and operational work and targets
Provide strategic input and support in shaping unit pivotal initiatives & programs
Strategizing & architecting learning and delivery model for AI and Data Solutions/Products/Frameworks which includes designing End to End solutions, Data Security, Multi-factor Authentication solutions using Databricks, Spark, ML algorithms on Cloud (Azure AWS – IaaS, PaaS, and SaaS) / OnPrem, etc.
Drive innovation and innovation culture in the chapter
Advocate for a product oriented execution model and represent chapter to stakeholders
Be a Data and Analytics Topic leader / Champion
Lead topic development (incl. market and industry trends) within chapter domain as well as educating others (chapter/across Ericsson)
Develop chapter culture, ways of working, and professional standards, the body of knowledge in Data Engineering, Machine Learning, AI, Analytics Engineering
Drive adoption of Agile practices in units to align with product ways of working, establish efficient delivery models to demonstrate economies of scale and expertise
Align team to achieve OKRs
Coaching and Mentoring in building a full-fledged highly innovative team ( Data /Analytics /ML Engineers) that can use Explorative or Requirement driven models in the delivery
Be a People Leader
People Management, incl. recruiting processes and onboarding
Drive Performance Management (Process), competence development, and career progressions (incl. salaries)
Identifying competencies from the right vendors and ensuring that external capabilities follow chapter standards and ways of working
Financial planning, forecasting, budget requests, and actuals for people/Resources (Line) for the chapter
Aligning decisions on the people requirements and allocations resulting from business decisions lined up from governance forums
Building up capabilities and secure that short- and long-term capacity of chapter members meet demand
Ensure best-fit-allocation for the deployment of chapter members
You will bring
You should have the experience working
In Data Warehouse and Business Intelligence Solutions
as a Solution Architect in DW / BI and BigData space
in the Sophisticated Analytics space
in Cloud (AWS /Azure) / SAP / DW Tools.
in the Delivery of Analytics solutions
You should have the passion to
develop products/frameworks in Data / ML / AI space.
mentor, coach, and lead team members in Analytics/ Data Engineering / Machine Learning / AI / Data Exchange / Data Products, etc
pursue a career in Data Space / AI / ML space (Techno- functional-managerial)
research and read on what is happening in the market (Azure/AWS/ Blockchain/Data/Quantum Compute etc) to apply those in Data and Analytics products.
Key Qualifications:
Education: Batchelor of Engineer / Masters in Computer Science or equivalent.
Minimum years of relevant experience: 15+years in IT, Data management, Data
Warehouse / BI / Data Product Development / Analytics
Analytical background and familiarity with evolving technology landscape such as Cloud/ SAP/ BigData / Containerization /BI Reporting Tools/R is an added advantage
Leadership and Management Skills
Problem Solving & Developing staff
Effective communication
Knowledge Sharing & Collaboration Skills.
Relating and Networking
Delivering results and meeting customer expectations
Learning and researching
Coping with pressure and setbacks
Presentation and communicating information
Exposure to a good number of technologies listed here if not all (Microsoft Azure, AWS, Kubernetes, Dockers, Python, R, Reinforcement Learning, ML Regression algorithms, ML Classification algorithms, ML Clustering Algorithms, Deep learning CNN Algorithms, AI-based Cognitive Chabot solutions, Spark, Hive, Databricks, Kafka, Tableau, Power BI, Informatica, Talend, Oracle, MS-SQL Server, Mongo DB, Teradata, PostgreSQL, Data Virtualization tool Denodo and Microservices architecture )
Why Join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and inventiveness to push the boundaries of what´s possible. To build never seen before solutions to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What Happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that’s why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team.
Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. We are committed to providing reasonable accommodations to all individuals participating in the application and interview process. If you need assistance or to request an accommodation due to a disability please reach out to interviewsupport@ericsson.com

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