

About Malaysian Global Innovation and Creativity Centre
About
Company video


Connect with the team
Company social profiles
Similar jobs



Role Description
This is a full-time client facing on-site role for a Data Scientist at UpSolve Solutions in Mumbai. The Data Scientist will be responsible for performing various day-to-day tasks, including data science, statistics, data analytics, data visualization, and data analysis. The role involves utilizing these skills to provide actionable insights to drive business decisions and solve complex problems.
Qualifications
- Data Science, Statistics, and Data Analytics skills
- Data Visualization and Data Analysis skills
- Strong problem-solving and critical thinking abilities
- Ability to work with large datasets and perform data preprocessing
- Proficiency in programming languages such as Python or R
- Experience with machine learning algorithms and predictive modeling
- Excellent communication and presentation skills
- Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Data Science)
- Experience in the field of video and text analytics is a plus
We are seeking a skilled Qlik Developer with 4-5 years of experience in Qlik development to join our team. The ideal candidate will have expertise in QlikView and Qlik Sense, along with strong communication skills for interacting with business stakeholders. Knowledge of other BI tools such as Power BI and Tableau is a plus.
Must-Have Skills:
QlikView and Qlik Sense Development: 4-5 years of hands-on experience in developing and maintaining QlikView/Qlik Sense applications and dashboards.
Data Visualization: Proficiency in creating interactive reports and dashboards, with a deep understanding of data storytelling.
ETL (Extract, Transform, Load): Experience in data extraction from multiple data sources (databases, flat files, APIs) and transforming it into actionable insights.
Qlik Scripting: Knowledge of Qlik scripting, set analysis, and expressions to create efficient solutions.
Data Modeling: Expertise in designing and implementing data models for reporting and analytics.
Stakeholder Communication: Strong communication skills to collaborate with non-technical business users and translate their requirements into effective BI solutions.
Troubleshooting and Support: Ability to identify, troubleshoot, and resolve issues related to Qlik applications.
Nice-to-Have Skills:
Other BI Tools: Experience in using other business intelligence tools such as Power BI and Tableau.
SQL & Data Querying: Familiarity with SQL for data querying and database management.
Cloud Platforms: Experience with cloud services like Azure, AWS, or Google Cloud in relation to BI and data solutions.
Programming Knowledge: Exposure to programming languages like Python or R.
Agile Methodologies: Understanding of Agile frameworks for project delivery.
- Strong knowledge in Power BI (DAX + Power Query + Power BI Service + Power BI Desktop
- Visualizations) and Azure Data Storages.
- Should have experience in Power BI mobile Dashboards.
- Strong knowledge of SQL.
- AAS Data model Deployment in Azure, Querying data from AAS to build Reports
- Experience in developing, optimizing, and administering Tabular Models in 'Azure Analysis service'.
- Design and Create AAS/OLAP/ Tabular cubes and automate processes for analytical needs.
- Good knowledge of DWH concepts.
- Expertise in developing OLAP cubes and developing complex calculations, Aggregations, implementing a dynamic security model using DAX functions in - Azure Analysis service
About Us:
Avarna derived from Sanskrit means one with a fun loving nature but having no form, no color, or marks. We at Avarna Capital solve the most interesting questions in sports analytics. Diligence, productivity and transparency defines the work culture at Avarna. We are a team of
highly motivated and innovative people all working remotely so emphasis on communication, accessibility, and accountability are our key focus to build a strong culture at Avarna.
Resposibilities:
1. Integrate Kafka pipelines into the company's current infrastructure
2. Recommended appropriate solutions to enhance the current software stack
3. Utilizing the latest and most innovative technology in solving business problems
4. Take ownership of project delivery and the entire SDLC
- Design, develop, implement and maintain our core Oracle applications.
- Maintain our SQL / PLSQL processes.
- Ensure DB availability.
- Proactively manage and maintain security standards and controls by creating storage database structures with high-level security features.
- Actively seek to optimise and simplify our architecture.
- Take ownership of performance and capacity monitoring aspects of the DB.
- Execution of data migration jobs and scripts as required.
- Assist the infrastructure team in sizing hardware used for the DB.
- Support and collaborate with product developers.
- Contribute to the creation and maintenance of disaster recovery plans.
- Work closely with the application vendors, co-ordinate and manage the DBA activities.
- Own and follow up with Vendors/Stakeholders & their DBAs when required.
- Create a reliable backup strategy. Ensure database backups are appropriately
- executed and periodic restorations are exercised to ensure backup quality.
- Determine and document DB policies, procedures and standards.
- Performance testing and evaluation to ensure data security, privacy and integrity.
- Identification of bottle necks and deadlock issues.
- Ensure SLA's & operational KPI’s are met, working as necessary with internal and external support functions when major incidents occur.
- Install upgrades and security patches.
- Alter storage structures to meet the evolving needs of the company.
- Set up database user accounts.
- Train users on how to access the information in the database.
- Find and debug malfunctioning programs affecting the database integrity.
- Create autonomous database backups.
- Regularly update the database security protocols.
Desired Skills:
- Ideally Oracle Certified DB Professional (OCP) with more than 5 years’ experience with Oracle, preferably in a lead role.
- Technical degree preferable (B.E. / B. Tech).
- Must experience with an organisation that has 24x7 reliability on its database.
- Must have experience with Oracle Exadata.
- Must Operating system experience in Linux.
- Must hands on knowledge of Shell scripting on Linux Platform
- Must hands on knowledge of Oracle management tools (Data Guard, RMAN).
- Must hands on knowledge of SQL / PLSQL.
- Experience should include DB design (modelling and normalisation), capacity planning, performance tuning, storage management, back-up and recovery, managing schemas, report generation and DB clustering technologies.
- Knowledge of Partitioning.
- Knowledge of architecture design principles.
- Good problem solver, focused and dedicated developer with ability to work on
- your own as well as with a team.
- Hands on experience with DB standards and end user applications-translating
- capacity requirements into infrastructure deployment technology.
- Strong practical experience of ORACLE in a production environment (Ver 19c).
- Must be a self-starter with a strong attention to detail.

With the ever-growing demand for healthcare services among the ever-increasing population, our client acts as a diagnostic laboratory providing various services such as routine testing, pathology services, radiology and genomic testing. They even provide various healthcare packages such as full body packages, fever packages, heart packages, etc.
Headquartered in Noida, our client works as a technology empowered, well-equipped and advanced testing lab, built in line with the globally recognized standards. They have their home sample-collection service in, approx., 120+ cities with 30+ laboratories and 700+ walk-in wellness & collection centres across India.
Our client aims for the accessibility of health tests to all Indians through a combination of well-equipped labs, technology and strong radiology network. They are backed by tier 1 VCs and have raised more than $60 million in funding this year.
As a Manager - Consumer Insights, you will be responsible for leveraging the expertise in conducting research & analysis and presenting the consumer insights to the management, thus supporting decision-making.
What you need to do:
- Researching, studying and analysing the current market trends and consumer behaviour for gathering insights from the same
- Consistently monitoring qualitative and quantitative consumer behaviour, needs, concerns and pain points & mapping the same with the proposed approach enabling better decision-making
- Presenting the research and conclusions to various concerned teams and leadership personnel in regular intervals, basis their current requirements
- Recommending strategic steps and changes that are required, to the management, basis the research insights that are drawn
- Being updated with current industry and market trends, changes, developments and also the regulatory impacts through internal and external sources and sharing the same with the internal teams
- Partnering, coordinating and negotiating with external agencies for gathering consumer/market data and driving consumer research activities
- Interacting and working with various stakeholders such as internal divisions as well as external professional sources
- Maintaining an updated and accurate database and reporting the same to the management in regular intervals
Desired Candidate Profile
What you need to have:- Graduation is a must. MBA is highly preferred
- Relevant work experience of 5 – 15 years in strategic research/consumer insights is required
- Outstanding communication skills (Verbal & Written)
- Proficiency in MS office suite
- Excellent listening, researching, analytical, negotiation, interpersonal and presenting skills
Remote Work, US shift
General Scope and Summary
The Data and Analytics Team sits in the Digital and Enterprise Capabilities Group and is responsible for driving the strategy, implementation and delivery of Data,
Analytics and Automation capabilities across Enterprise.
This global team will deliver “Next-Gen Value” by establishing core Data and Analytics capabilities needed to effectively manage and exploit Data as an Enterprise Asset. Data Platform Operations will be responsible for implementing and supporting Enterprise Data Operations tools and capabilities which will enable teams
to answer strategic and business questions through data .
Roles and Responsibilities
● Manage overall data operations ensuring adherence to data quality metrics by establishing standard operating procedures and best practices/playbooks.
● Champion the advocacy and adoption of enterprise data assets for analytics and analytics through optimal operating models.
● Provide day-to-day ownership and project management data operations activities including data quality/data management support cases and other ad-hoc requests.
● Create standards, frameworks for CI/CD pipelines and DevOps.
● Collaborative cross-functionally to develop and implement data operations policies balancing centralized control and standardization with decentralized speed and flexibility.
● Identify areas for improvement. Create procedures, teams, and policies to support near real-time clean data, where applicable, or in a batch and close process, where applicable.
● Improve processes by tactically focusing on business outcomes. Drive prioritization based on business needs and strategy.
● Lead and control workflow operations by driving critical issues and discussions with partners to identify and implement improvements.
● Responsible for defining, measuring, monitoring, and reporting of key SLA metrics to support its vision.
Experience, Education and Specialized Knowledge and Skills
Must thrive working in a fast-paced, innovative environment while remaining flexible, proactive, resourceful, and efficient. Strong interpersonal skills, ability to understand
stakeholder pain points, ability to analyze complex issues to develop relevant and realistic solutions and recommendations. Demonstrated ability to translate strategy into action; excellent technical skills and an ability to communicate complex issues in a simple way and to orchestrate solutions to resolve issues and mitigate risks.



About Us:
GreedyGame is looking for a Business Analyst to join its clan. We are looking to get an enthusiastic Business Analyst who likes to play with Data. You'll be building insights from Data, creating analytical dashboard and monitoring KPI values. Also you will coordinate with teams working on different layers of the infrastructure.
Job details:
Seniority Level: Associate
Level Industry: Marketing & Advertising
Employment Type: Full Time
Job Location: Bangalore
Experience: 1-2 years
WHAT ARE WE LOOKING FOR?
- Excellent planning, organizational, and time management skills.
- Exceptional analytical and conceptual thinking skills.
- A previous experience of working closely with Operations and Product Teams.
- Competency in Excel and SQL is a must.
- Experience with a programming language like Python is required.
- Knowledge of Marketing Tools is preferable.
WHAT WILL BE YOUR RESPONSIBILITIES?
- Evaluating business processes, anticipating requirements, uncovering areas for improvement, developing and implementing solutions.
- Should be able to generate meaningful insights to help the marketing team and product team in enhancing the user experience for Mobile and Web Apps.
- Leading ongoing reviews of business processes and developing optimization strategies.
- Performing requirements analysis from a user and business point of view
- Combining data from multiple sources like SQL tables, Google Analytics, Inhouse Analytical signals etc and driving relevant insights
- Deciding the success metrics and KPIs for different Products and features and making sure they are achieved.
- Act as quality assurance liaison prior to the release of new data analysis or application.
Skills and Abilities:
- Python
- SQL
- Business Analytics
- BigQuery
WHAT'S IN IT FOR YOU?
- An opportunity to be a part of a fast scaling start-up in the AdTech space that offers unmatched services and products.
- To work with a team of young enthusiasts who are always upbeat and self-driven to achieve bigger milestones in shorter time spans.
- A workspace that is wide open as per the open door policy at the company, located in the most happening center of Bangalore.
- A well-fed stomach makes the mind work better and therefore we provide - free lunch with a wide variety on all days of the week, a stocked-up pantry to satiate your want for munchies, a Foosball table to burst stress and above all a great working environment.
- We believe that we grow as you grow. Once you are a part of our team, your growth also becomes essential to us, and in order to make sure that happens, there are timely formal and informal feedbacks given




Glance – An InMobi Group Company:
Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!
Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).
What’s the Glance family like?
Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.
What can we promise?
We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.
What you will be doing?
Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners.
You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.
Basic Qualifications:
- Five+ years experience working in a Data Science role
- Extensive experience developing and deploying ML models in real world environments
- Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
- Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
- Experience in advanced math and statistics
- Excellent familiarity with command line linux environment
- Able to understand various data structures and common methods in data transformation
- Experience deploying machine learning models and measuring their impact
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Preferred Qualifications
- Experience developing recommendation systems
- Experience developing and deploying deep learning models
- Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
- Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
- Experience with being actively engaged in data science or other research-oriented position
- You would be comfortable collaborating with cross-functional teams.
- Active personal GitHub account.


