Product Analyst, Google Assistant Data Science

Google

Ex: 2 years of experience in a data analysis related field

Full Time

Bangalore,India

Minimum qualifications: • 2 years of experience in a data analysis related field. • Experience with R, Python, SQL, Metrics Analysis, Statistical Analysis, and/or Experiment Design. Preferred qualifications: • Masters degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience. • Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL). • Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. • Experience translating analysis results into business recommendations. About the job As a Product Analyst, you will provide strategic insights to growth, improve the Google Assistant product, develop goals and methodology to measure different aspects (growth, quality, engagement, etc.) of the product, features, and capabilities of the Google Assistant. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. Responsibilities • Define goals, measurement, and evaluation methodology for Google Assistant-related programs. Work with the Google Assistant leadership, Product, and Engineering teams to define short and long-term success goals for product efforts. • Establish methodology for understanding headroom and user value for Google Assistant experiences in products. • Develop an understanding of data structures and goals, advocating for changes where needed for product development. • Build tools to help scale and support the launch evaluation for Google Assistant products. Build and prototype analysis pipelines for scalable insights. • Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

Product Analyst Lead

Google

Ex: 4 years of experience in data analysis

Full Time

Bangalore,India

Minimum qualifications: • 4 years of experience in data analysis. • Experience in R, Python, SQL, Metrics Analysis, Statistical Analysis, or Experiment Design. Preferred qualifications: • Masters degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience. • Experience translating analysis results into business recommendations. • Experience with statistical software (e.g., R, Python, MATLAB, or pandas) and database languages (e.g. SQL). • Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. About the job As a Product Analyst Lead, you will provide strategic insights to grow and improve the assistant product, develop metrics and methodology to measure different aspects (e.g., growth, quality, engagement, etc.) of the product, features, and capabilities of the Google Assistant. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. Responsibilities • Build and prototype analysis pipelines for scalable insights. • Develop an understanding of data structures and goals, advocating for changes where needed for product development. • Establish methodology for understanding headroom and user value for assistant experiences. • Work with the assistant leadership, product, and engineering teams to define short and long-term success goals for product efforts. • Define metrics, measurement, and evaluation methodology for assistant-related programs.

Product Analyst Lead

Google

Ex: 4 years of experience in data analysis

Full Time

Bangalore,India

Minimum qualifications: • 4 years of experience in data analysis. • Experience in R, Python, SQL, Metrics Analysis, Statistical Analysis, or Experiment Design. Preferred qualifications: • Masters degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience. • Experience translating analysis results into business recommendations. • Experience with statistical software (e.g., R, Python, MATLAB, or pandas) and database languages (e.g. SQL). • Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. About the job As a Product Analyst Lead, you will provide strategic insights to grow and improve the assistant product, develop metrics and methodology to measure different aspects (e.g., growth, quality, engagement, etc.) of the product, features, and capabilities of the Google Assistant. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. Responsibilities • Build and prototype analysis pipelines for scalable insights. • Develop an understanding of data structures and goals, advocating for changes where needed for product development. • Establish methodology for understanding headroom and user value for assistant experiences. • Work with the assistant leadership, product, and engineering teams to define short and long-term success goals for product efforts. • Define metrics, measurement, and evaluation methodology for assistant-related programs.

Senior Data analyst

Boston Consulting group

Ex: 4-6 years of relevant work experience

Full Time

Bangalore,India

WHAT YOULL DO As a member of Data & Analytics team you will be reporting to the Digital Collaboration tribe. You will support data analytics; machine learning and innovation needs to the Digital Collaboration. Role will require to work across multiple squads and engage different stakeholders to provide insights for data driven decision making on wide ranging use cases. The ideal candidate will ensure that our Data & Analytics team align to the business objectives and supports key initiatives for the squads and tribe. Role will need to leverage latest technology and best practices to deliver results, agility, efficiency and quality for data and visualization requirements. YOURE GOOD AT Highly skilled in all aspects of data analytics including mining, scrubbing, and visualization Deep understanding of machine learning, popular data analysis tools and databases Excellent visualization skills, storytelling, and familiarity with best practices to convey insights in an intuitive and visually compelling way Ability to define relevant metrics and influence key stakeholders with actionable insights Ability to work in highly dynamic environment with high degree of ambiguity Excellent communication skills with ability to simplify complex insights for end users YOU BRING (EXPERIENCE & QUALIFICATIONS) Should have 4-6 years of relevant work experience Proficiency in Python and experience with ML libraries and frameworks like Scikit-learn, H2O or Spark ML, NumPy, Pandas etc. Develop and improve predictive models to optimize the user experience and operational efficiency Experience in machine learning, supervised and unsupervised: Time-series, Classification, Decision Trees, Random Forest Sentiment analysis and data / text mining using NLP and services like Amazon Comprehend and opensource libraries like scatter text, spaCy etc. Must understand API integration using Python for extracting data from different sources Experience with Snowflake, SQL, and other relational databases Professional experience in building robust data pipelines using ETL tools is must (e.g., Alteryx, Talend etc.) Experience in data visualization using Tableau and Python libraries like Plotly, Seaborn, Matplotlib Strong understanding of Tableau’s LOD functions, data blending, logical/physical joins, row level security, Tableau extensions and Tableau API exp. would be an added advantage YOULL WORK WITH As a member of Data Analytics team, you will work in the Digital Collaboration tribe. Data team is based in Gurugram. You will work closely with our internal stakeholders globally to support data analytics, machine learning and innovation requirements.

Business Intelligence Analyst

Randstad

Ex: 1 year (Entry level)

Bangalore,India

Position Requirements -Intermediate Excel skills required for reporting duties -Basic Microsoft Office Experience -Basic knowledge of SQL- Must know how to write simple queries -Must have a clear understanding of database structures Primary Duties / Responsibilities -Merge Team: Perform data stewardship by reviewing the validity and accuracy of merge candidates, identifying discrepancies or errors in the data, and checking output to confirm that merges were successfully processed in all systems -Master Data Team – Perform data stewardship activities by reviewing and validating D&B customer identification assignments. Selecting between the best information available for the customer on the available data sources. For all candidates: Working within Salesforce, Custom UI and backend data systems Working with IT and project teams to resolve errors and data issues Pulling and consolidating reporting metrics Perform data stewardship by identifying data quality discrepancies Validating data by visually comparing corresponding data from multiple sources Qualifications (include Knowledge, Skills, Abilities, Related Work Experience) -Data Steward, BSA, or Data Analysts background is preferred, but open to recent graduates with strong motivation and technical/computer/data skills -Strong attention to detail and proof-reading abilities, -Ability to self-motivate and work as part of a team, -Ability to clearly communicate data quality issues and needs -Excellent English and communication skills via email -Proven analytical skills, technical aptitude, excellent written and verbal communication skills -Comfortable performing repetitive tasks on a daily basis Experience – 1 year Skills Salesforce, Sql, Custom UI and backend data systems

Platform Business Analyst

Unilever

Ex: Early career

Full Time

Bangalore,India

The Business Analyst (BA) role is responsible to facilitate sessions focusing on gathering UMP requirements with external and internal stakeholders; documenting those requirements into Business Requirement Documents that include uses cases, and functional specifications. This role also works with Project Managers to ensure a successful delivery of the statement of work. Business Analysts work with Technical Leads to define technical specifications, and architecture diagrams, lead efforts to evaluate, select, recommend and implement appropriate software & system solutions that support and enable the delivery of eCommerce applications. This role works with our QA team to define test scripts and acceptance criteria and works with UX/Designs teams manage & communicate requirements, and designs. Business Analysts facilitate change orders, and priorities of the project

Big Data Engineer

Apple

Ex: 4 - 12 years of professional experience

Full Time

Bangalore,India

Job Summary Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish! This position is in the Big Data Engineering team that manages various state of the art open source technologies in Streaming, Data Science and Big Data Analytics areas, including Kafka, Hadoop, Spark and AI/ML. You should have experience developing/deploying large-scale big data analytics/streaming applications and services. The ideal candidate will bring a lot of energy, initiative and excitement! Will be ready to learn and explore new leading edge technologies. Key Qualifications -What are we expecting? This position demands the best and brightest software engineers! You should have BS or MS in CS with strong Computer Science fundamentals and good troubleshooting and problem solving skills. The ideal candidate will bring a lot of energy, initiative and excitement! Will be ready to learn and explore new leading edge technologies. 4 - 12 years of professional experience in deploying and handling complex, distributed and multi-tier Big Data environments. Solid experience and knowledge in Big Data Technologies such as Hadoop, Spark, Kafka, Hbase, Presto etc. Core competency in Hadoop ecosystem with experience in Hadoop admin activities like deploying clusters, add/delete nodes, name node high availability, etc. Good proficiency in System platforms - Operating Systems, Networking, CPU, Memory, etc. Good exposure and expertise in Public Cloud offerings (AWS & GCP). Preferably experience in handling BigData platforms on Cloud (EMR, EKS, etc). Passionate about Problem solving and troubleshooting challenging engineering problems. Triage complex operational issues with various engineering and customer teams. Strong flair for automation. Develop tools/scripts to monitor server-side components and to streamline operational efficiency and procedures. Reasonable knowledge and experience in programming using Java/Python. Design and build tools and framework for managing and scaling big data technologies. Knowledge of DevOps methodology and tools and experience in handling CI/CD pipelines. Knowledge of deployments in Kubernetes containers highly desirable. Experience in handling architectural and design considerations such as performance, scalability, reusability and flexibility issues. Experience with processing large amounts of data. Description -Build a Big Data Platform. -Design, architect, and engineer Big Data technologies, platforms and applications. -Setup of Hadoop clusters with related technologies on hosts including a combination of bare metal systems, VMs, Containers and Cloud. -Setup of Kafka brokers, Kafka MirrorMakers and Kafka Zookeeper on hosts including a combination of bare metal systems, VMs, Containers and Cloud. -Develop scalable, robust systems that will be highly adaptable to changing business needs. Architect, improve, and scale applications to the next level. -Interface with application owners, developers and project managers. -Recommend and deploy tools and processes to enable rapid development, deployment and operations of big data solutions. -Be a guru for application teams faced with architectural decisions or complex technical problems, such as scaling and tuning. -Mentor other engineers in the team on the development of big data technologies and applications. Education & Experience BS Computer Science or equivalent (MS Preferred)

Data Engineer - AppleCare Digital

Apple

Ex: 6+ years of proven experience

Full Time

Bangalore,India

The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here! At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish. Do you love problem solving and thinking beyond an obvious solution? Do you thrive in ambiguity and teams where little direction should fuel your creativity? We are seeking a customer-focused, passionate and driven Data Engineer with experience in building analytics and data solutions in AppleCare Digital team located in Bangalore, India. Key Qualifications • Expert with streaming and batch data processing • Expert at schema design, data modeling concepts and advanced SQL • Demonstrated ability in developing ETL jobs for analyzing and processing high-volume data using Spark/Flink/Storm on AWS or similar cloud platform • Experience with query APIs using JSON, Protocol Buffers, or XML • Expertise in scripting languages such as Python, Scala • Experience in relational/MPP database technologies such as Teradata, SingleStore, Redshift, Postgres, Oracle, Druid etc. • Experience with workflow management tools: Azkaban, Oozie, Airflow, Jenkins, GitHub Actions etc. • Experience using NoSQL/columnar solutions like Cassandra, MongoDB, AWS Neptune etc • Exposure to reporting tools such as Tableau is a plus • Strong interpersonal skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners Description - Engage with analysts, data scientists and business functions to find opportunities, understand requirements, and translate those requirements into data solutions. - Build data pipelines in partnership with data scientists and data engineers iteratively to enable delivering insights and building ML models at scale. Education & Experience B.Tech/M.Tech/M.S. in related field with 6+ years of proven experience

Big Data Engineer

Adobe

Ex: 5+ years of experience

Full Time

Bangalore,India

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Skills • Solid track record and 5+ years of experience in building large scale data warehouses and enterprise data platforms handling critical data • Highly proficient in building BigData warehouse using Hadoop, BigData Ecosystem & Spark • Solid foundation in data structures, algorithms and software design with strong analytical, problem-solving and programming skills • Experience in designing a fully self served large distributed date platform involving multiple subsystem • Comfort working with large data sets and high velocity data streams • Experience with ETL and processing real-time data on Hadoop platform • Strong problem solving, troubleshooting and analytical skills • Highly experienced with micro services and backend services • Experience in ETL, data storage and processing at scale • Strong track records in Designing scalable solutions. • Excellent communication, presentation, interpersonal and analytical skills including the ability to communicate complex concepts clearly to different audiences • Ability to quickly learn new technologies in a dynamic environment. • Good to have knowledge on Apache Airflow • Good to have knowledge of AI/ML Responsibilities • Design and Implement complex, distributed platforms for storing data, scaling parallel algorithms, etc. • Innovates end-to-end solutions and "breakthrough" ideas . • Leads efforts in establishing objectives & approaches to critical & complex technical assignments. Leads technology conversation • Work with members of the team and participate in the design and development of key features needed to make the Data Analytics Service successful • Work with the team and outside to get necessary approvals for the architecture and design for the problem at hand • Experiment with the compute / storage / networking infrastructure as necessary and be able to recommend improvements in the way the service runs in various dimensions of performance, reliability, optimal cost, etc. Be on top of whats happening in the Apache Spark and other related communities

Business Analysis, Associate-2

State Street

Ex: Experience in Investment Banking Cash and Payments operations

Full Time

Bangalore,India

Primary Skills Experience in Investment Banking Cash and Payments operations Experience in Global Pay Plus and T24 applications, UAT testing Creating test scripts in alignment with Business Requirements Documents, Execution of test scripts, documentation of testing status, test case evidences, potential defects encountered in the test execution Effective time management Having knowledge on analytical and administrative MS Office (Excel, Word, PowerPoint) Experience in Agile methodology Values: Integrity, Commitment, Collaboration & Innovation Secondary Skills MS Excel – Macro, DB script, T24 and GPP configurations Technical skills – Automating test cases HPQC/ALM or Jira -