Data Analyst (1 year contract)

Data Analyst

Data Analytics- C11/C12/C13

Principal Data Engineer

Human Resource CDO Project Manager, Vice President

Associate Food Technologist

Intern-Ecommerce

Financial Controller

Configuration Analyst

Responsibilities: <ul><li>As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line.</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li></ul>

Role Description: <ul><li>The Data Quality Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area.</li><li>Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information.</li><li>Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.</li></ul> Responsibilities: <ul><li>Devises methods for identifying data patterns and trends in available data sources.</li><li>Defines strategies to drive data quality measurement, produce data quality dashboards and reports, and implement data quality strategies to effectively govern data and improve data quality.</li><li>Works with data quality partners and Technology teams to identify and implement data quality tools. Identify critical data elements, data quality rules, thresholds, and other business requirements.</li><li>Assists in the remediation of Audit and Regulatory feedback on the data quality program.</li><li>Designs/analyzes moderately complex reports to satisfy management requirements.</li><li>Evaluates moderately complex and variable issues with substantial potential impact.</li><li>Uses broad discretion in developing solutions for business reporting issues.</li><li>Influences decisions through advice, counsel and/or facilitating services to others in area of specialization.</li><li>Mentors lower level analysts.</li><li>Applies in-depth understanding and knowledge of how business integrates within the sub function; as well as coordinates and contributes to the objectives of the function and overall business.</li><li>Contributes to the development of new techniques and processes and for the aligned business.</li><li>Integrates subject matter and industry expertise within a defined area.</li><li>Responsible for own work to support business teams in assigned area.</li><li>Regularly assumes informal/formal leadership role within teams, and is involved in coaching and training of new recruits in business processes and procedures of business</li><li>Utilizes communication and diplomacy skills are required.</li><li>Build data quality assessments and measurement of critical data utilized by Companys strategic systems and processes supporting Global Functions and Sectors.</li><li>Responsible for the reviewing, analyzing and dispositioning of the results of those measurements as well as providing detail and summary reporting of the same.</li><li>Accountable for understanding and documenting systems, data flows and data quality rules driven from the profiling and assessments of critical data.</li><li>Analyze data quality issues</li><li>Interact with business and technical staff who support the Global Functions, ensuring the data quality scorecards are measuring fit for purpose data.</li><li>Secure approvals from Data Governance Officers on scorecard requirements and use (i.e., tollgate documentation).</li><li>Performs other job duties and functions as assigned.</li><li>Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firms reputation and safeguarding Company, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li></ul> Requirements: <ul><li>Experience with defining and implementing data quality programs</li><li>Problem Solving - Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using mult</li></ul> Education: <ul><li>Bachelor’s/University degree or equivalent experience</li><li>This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.</li><li>Function Background/Context</li><li>The Compliance Federated Chief Data Office oversees the end-to-end ICRM data “ecosystem” including data governance, architecture, standards, controls, metrics, Data Concern and Remediation Management (DCRM), reporting and risk management. Objectives include: improving data governance and management; defining and maintaining the data architecture and standards; increasing business and functional engagement; improving data comprehensiveness, quality and coverage; reducing the inventory of data issues; and accelerating data access and validation for new projects.</li></ul>

Role Description: <ul><li>The Pooled Associate – Data Analytics will report to COE Super Sector Pod head for the sector and will work on multiple data analytics projects in collaboration with Global Super Sector Pod Head, COE Super Sector Pod Head, onshore Analysts, Mumbai Pooled and Dedicated Associates as well as Research Operations team such as Innovation Lab.&nbsp;&nbsp;</li></ul> Responsibilities: <ul><li>Translate business questions to data-driven analysis.</li><li>Participate in designing targeted solutions to identified business questions.</li><li>Load, manipulate and visualize data.</li><li>Collect, process and enrich data of different formats from multiple sources using a variety of technologies and platforms.</li><li>Analyze the data using various analytics models and tools.&nbsp;</li><li>Build models, draw insights, build and present reports, visual presentations which are tailored to different stakeholders.</li></ul> Requirements: <ul><li>Strong working knowledge of Excel and Advanced Excel including VBA.</li><li>Experience with Advanced data modelling – predictive models and machine learning algorithms, econometrics.&nbsp;</li><li>Scripting experience in Java, Python.</li><li>Strong working knowledge of SQL, ETL and data visualization/BI tools like Power BI/Tableau.</li><li>Exposure to Web scraping, Text analytics &amp; Survey analysis will be advantageous.</li></ul>

Responsibilities: <ul><li>Provide leadership and management to a team of data engineers, managing processes and their flow of work, vetting their designs, and mentoring them to realize their full potential.</li><li>Act as a subject matter expert across different digital projects.</li><li>Oversee work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers.</li><li>Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.</li><li>Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.</li><li>Responsible for implementing best practices around systems integration, security, performance and data management.</li><li>Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.</li><li>Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.</li><li>Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.</li><li>Develop and optimize procedures to “productionalize” data science models.</li><li>Define and manage SLA’s for data products and processes running in production.</li><li>Support large-scale experimentation done by data scientists.</li><li>Prototype new approaches and build solutions at scale.</li><li>Research in state-of-the-art methodologies.</li><li>Create documentation for learnings and knowledge transfer.</li><li>Create and audit reusable packages or libraries.</li><li>COVID-19 vaccination is a condition of employment for this role. Please note that all such company vaccine requirements provide the opportunity to request an approved accommodation or exemption under applicable law</li></ul> Requirements: <ul><li>8+ years of overall technology experience that includes at least 6+ years of hands-on software development, data engineering, and systems architecture.</li><li>6+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.</li><li>6+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).</li><li>4+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP).</li><li>Fluent with Azure cloud services. Azure Certification is a plus.</li><li>Experience scaling and managing a team of engineers.</li><li>Experience with integration of multi cloud services with on-premises technologies.</li><li>Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.</li><li>Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.</li><li>Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.</li><li>Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.</li><li>Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.</li><li>Experience with version control systems like Github and deployment &amp; CI tools.</li><li>Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools.</li><li>Experience with Statistical/ML techniques is a plus.</li><li>Experience with building solutions in the retail or in the supply chain space is a plus</li><li>Understanding of metadata management, data lineage, and data glossaries is a plus.</li><li>Working knowledge of agile development, including DevOps and DataOps concepts.</li><li>Familiarity with business intelligence tools (such as PowerBI).</li></ul>

Overview: <ul><li>The Human Resources organization at is building a new Data group.</li><li>This is an exciting opportunity for an experienced Project Manager, to enter at the “ground floor” and shape the future organization.&nbsp;</li><li>Reporting to the Program Manager and Chief Administrative Officer (CAO) in the HR Chief Data Office (CDO), you will navigate global and cross functional needs, collaborate with Enterprise Chief Data Office (ECDO) and drive towards an ideal state of a mature data governance program.&nbsp;</li><li>The HR CDO Project Manager will assist with the overall running of the HR CDO Program Management Office (PMO) and data work done by HR to ensure implementation of the enterprise data strategy.</li></ul> Responsibilities: <ul><li>Manage Data &amp; Analytics projects that cross data pillars (Governance, Management. infrastructure, etc.) and extended beyond the HR</li><li>In partnership with enterprise program management, ensure sound program management for HR data related work (e.g., deliverables on time, risk identification, process for milestone reporting and approving changes to milestones)&nbsp;</li><li>Assist in developing the HR Data Transformation Strategy and roadmap&nbsp;</li><li>Assist in developing the HR Data related training offerings Develop and implement the HR CDO people and communications strategy, including the development and execution of training programs&nbsp;</li><li>Support the Enterprise CDO in conducting key activities and preparing materials for regulatory touchpoints and milestones&nbsp;</li><li>Monitor and act on key HR-specific operational metrics; assist ECDO to establish additional key metrics and develop a simple repeatable process to produce them on a regular cadence</li><li>&nbsp;Provide content to ECDO for presentations to key stakeholders Responsible for the overall direction, coordination, implementation, execution, control and completion of specified projects ensuring consistency with project management governance.</li><li>Measures project management performance against standards. </li><li>Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firms reputation and safeguarding, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.&nbsp;</li></ul> Requirements: <ul><li>6 - 10 years of relevant experience with a particular focus in the data, technology, Human Resources and/or operations space and overall business management experience in a complex, financial organization, with particular focus in the data space highly preferred</li><li>Proven ability to execute large complex change programs</li><li>Exceptionally strong interpersonal and communication skills Strong core technical skills and solid understanding of data processes, infrastructure, and systems</li><li>Proven ability to act independently, work quickly and with careful attention to detail, juggle multiple priorities and thrive in a varied, fast-paced environment</li><li>Proven ability to lead/manage projects in a large, global financial firm&nbsp;</li><li>Proven ability to work well under pressure and within tight deadlines Proven ability to communicate effectively, drive consensus, and influence relationships at all levels</li><li>Strong analytical/problem solving skills; sound judgment and demonstrated leadership skills</li></ul>

Responsibilities:-<ul><li class="ql-align-justify">Manages and leads small to medium size projects and programs to improve product quality, product margins, productivity, unlocking production capacity, scale-up and introduce new products</li><li class="ql-align-justify">Becomes a technical expert in the plant’s manufacturing technologies; supports and provides technical guidance and troubleshooting to Operations</li><li class="ql-align-justify">The incumbent has an impact on the company through knowledge and application of a technical discipline</li><li class="ql-align-justify">Develops and leads the execution of process improvement initiatives to improve quality, productivity, costs </li><li class="ql-align-justify">Supports or leads (depending on scale &amp; complexity) new product or product renovation scale-up trials and production start-up </li><li class="ql-align-justify">Upholds Quality image standards.&nbsp;Appropriately addresses both project and non-project related quality or food safety issues when encountered</li><li class="ql-align-justify">Issues timely reports and updates to product specification &amp; other required documentation as a result of project implementation </li><li class="ql-align-justify">Provides innovative new ideas and critical thinking to troubleshoot operations, process, or raw material related issues &nbsp;</li></ul> Requirements:-<ul><li>Bachelor’s Degree in science, engineering, or a related field, with minimum 3 years of experience</li><li>Basic understanding of food processing, R&amp;D, operations</li><li>Demonstrated experience in data analysis &amp; generating insights from data </li><li>Must possess leadership, planning &amp; coordination skills, good communication skills, cost consciousness and diplomacy</li><li>Must be able to promote good relations with all facets of R&amp;D, Supply Chain, Plant team and other technical / scientific disciplines in the effective execution of projects</li><li>Fluent in English and Bahasa Malaysia&nbsp;&nbsp;</li></ul>

Responsibilities: <ul><li>Prepare campaign post-mortem reports and analyze online store performance on retailers</li><li>Work closely with local teams across SEA, Middle East, Europe and Africa to ensure operations excellence (availability, search, content) on product listings and recommend actionable insights to improve performance KPIs</li><li>Support global eCommerce manager in rollout of regional projects and day-to-day operations&nbsp;</li><li>Craft business reviews based on country performance indicators and industry trends</li><li>Support partnerships and operations across different retailers globally including Shopee</li></ul> Requirements: <ul><li>Business Administraton (any, marketing)</li><li>Data Analytics</li><li>Commitment for 6 months at least 3rd or 4th year preferred</li><li>No work visa requirement</li><li>Good English command and Microsoft Suite</li><li>Experience in eCommerce platform preferred but not required</li></ul>

As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line. Responsibilities: <ul><li>The Data Analyst is responsible for the delivery of reports through</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li><li>Contract for the one year</li></ul>

&nbsp;Responsibilities: <ul><li>Ensure day to day accounting is accurate and as per guidelines (IFRS/IND-AS)</li><li>All compliances are effectively managed, direct tax, indirect tax, secretarial</li><li>Ensure operational task (Accounts payable/Accounts receivable/General ledgers) are well managed in close coordination with shared service center</li><li>Month end closing on time with accuracy</li><li>Reportings to various stakeholders is on time including reports to Region, internal stakeholders</li><li>Does controlling task in terms of cost control, budget control, reviews, identifying risk on compliances</li><li>Support on various business revenue and cost analysis including pricing, standard cost etc</li><li>Business Partnering by providing valuable insights to Sales team and Management</li><li>Tracking various financial KPI’s set for the Company</li><li>Variance analysis over different platforms including SAP, BI, Excel, with Budget and Forecast</li><li>Reporting and presentation to Management team on various financial parameters</li><li>Follow up on deficiencies and ensure corrective actions to improve KPI’s</li><li>Proactive analysis and review</li><li>Monthly/Quarterly forecast analysis in discussion with Sales, Logistics and alignment with Finance forecast</li><li>Own Annual Budget/rolling forecast</li><li>Standard cost computation and analysis for deviations</li><li>Adhoc analysis as needed by Management</li><li>Identify areas of digitalization/improvement of processes and act to build them</li></ul>&nbsp;Requirements: <ul><li>Degree in Finance &amp; Company Secretary</li><li>7-8 years of relevant finance experience with 2-3 years minimum experience as Controller. Big 4 Audit background (KPMG, E&amp;Y, Deloitte, PwC) post qualification will be added advantage.</li><li>Strong accounting knowledge along with analysis skills</li><li>Experience with ERP systems, SAP must. BI/SAC experience will be added advantage</li><li>trong presentation skills</li><li>Strong collaboration and communication skill in both oral and written English</li><li class="ql-align-justify">Self motivated and driver</li></ul>

Responsibilities: <ul><li>Receive data from ceding administrator’s system</li><li>Load data into a temporary database</li><li>Analyse data received alongside scheme documentation and map to our target database</li><li>Develop data reconciliations in SQL</li><li>Analyse, map and test interface data</li><li>Liaise with calc analysts to agree benefit tranches and structure</li><li>Configure base scheme and category set ups to match benefit structure of the scheme</li></ul> Requirements: <ul><li>Experience in delivering innovation</li><li>Experience in UK Pensions Data Analysis (DB or DC, with DB being preferable)</li><li>SQL skills sufficient to link tables for analysis and data updates</li><li>Good written and verbal communication&nbsp;</li><li>Experience in UK Pensions Data Analysis (DB or DC, with DB being preferable)</li><li>SQL skills sufficient to link tables for analysis and data updates</li><li>Good written and verbal communication&nbsp;</li></ul>

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370 data analysis Jobs found

Data Analyst (1 year contract)

Data Analyst

Data Analytics- C11/C12/C13

Principal Data Engineer

Human Resource CDO Project Manager, Vice President

Associate Food Technologist

Intern-Ecommerce

Data Analyst

Financial Controller

Configuration Analyst