Lead II

7 - 9 Years

1 Opening

Bangalore

Role Proficiency:

Independently provides expertise on data analysis techniques using software tools; streamlining business processes and managing team

Outcomes:

• Managing and designing the reporting environment including data sources security and metadata.

• Providing technical expertise on data storage structures data mining and data cleansing.

• Supporting the data warehouse in identifying and revising reporting requirements.

• Supporting initiatives for data integrity and normalization.

• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.

• Synthesize both quantitative and qualitative data into insights

• Generating reports from single or multiple systems.

• Troubleshooting the reporting database environment and reports.

• Understanding business requirements and translating it into executable steps for the team members.

• Identify and recommend new ways to streamline business processes

• Illustrates data graphically and translates complex findings into written text.

• Locating results to help the clients make better decisions. Get feedback from clients and offer to build solutions based on the feedback.

• Review the team's deliverables before sending final reports to stakeholders.

• Support cross-functional teams with data reports and insights on data.

• Training end users on new reports and dashboards.

• Set FAST goals and provide feedback on FAST goals of reportees

Measures of Outcomes:

• Quality - number of review comments on codes written

• Accountable for data consistency and data quality.

• Number of medium to large custom application data models designed and implemented

• Illustrates data graphically and translates complex findings into written text.

• Number of results located to help clients make informed decisions.

• Attention to detail and level of accuracy.

• Number of business processes changed due to vital analysis.

• Number of Business Intelligent Dashboards developed

• Number of productivity standards defined for project

• Manage team members and review the tasks submitted by team members

• Number of mandatory trainings completed

Outputs Expected:

Determine Specific Data needs:

• Work with departmental managers to outline the specific data needs for each business method analysis project

Management and Strategy:

• Oversees the activities of analyst personnel and ensures the efficient execution of their duties.

Critical business insights:

• Mines the business's database in search of critical business insights and communicates findings to the relevant departments.

Code:

• Creates efficient and reusable SQL code meant for the improvement
  
  manipulation
  
  and analysis of data.

• Creates efficient and reusable code. Follows coding best practices.

Create/Validate Data Models:

• Builds statistical models; diagnoses
  
  validates
  
  and improves the performance of these models over time.

Predictive analytics:

• Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis

Prescriptive analytics:

• Attempts to identify what business action to take

Code Versioning:

• Organize and manage the changes and revisions to code. Use a version control tool like git
  
  bitbucket. etc.

Create Reports:

• Create reports depicting the trends and behaviours from the analysed data

Document:

• Create documentation for own work as well as perform peer review of documentation of others' work

Manage knowledge:

• Consume and contribute to project related documents
  
  share point
  
  libraries and client universities

Status Reporting:

• Report status of tasks assigned

• Comply to project related reporting standards/process

Skill Examples:

• Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.

• Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail.

• Critical Thinking: Data analysts must look at the numbers trends and data and come to new conclusions based on the findings.

• Presentation Skills - reports and oral presentations to client

• Strong meeting facilitation skills as well as presentation skills.

• Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions.

• Mathematical Skills to estimate numerical data.

• Work in a team environment

• Proactively ask for and offer help

Knowledge Examples:

Knowledge Examples

• Database languages such as SQL

• Programming language such as R or Python

• Analytical tools and languages such as SAS & Mahout.

• Proficiency in MATLAB.

• Data visualization software such as Tableau or Qlik or Power BI.

• Proficient in mathematics and calculations.

• Spreadsheet tools such as Microsoft Excel or Google Sheets

• DBMS

• Operating Systems and software platforms

• Knowledge about customer domain and also sub domain where problem is solved

Additional Comments:

Role Scope / Deliverables: Dataiku Platform Administrator Role Location(s): Bangalore, India Planned Start Date: 9/15/2025 Planned End Date: 7/31/2026 Key Skills: 1) Platform Ownership & Reliability
• Install, configure, and upgrade Dataiku DSS (design/execution/automation/API nodes, Deployer) across dev/test/prod.
• Implement HA/DR: backups, restores, replication/automation bundles, and tested runbooks (RPO/RTO targets).
• Capacity planning, performance tuning, and housekeeping (jobs, logs, temp/managed folders, connection quotas).
• Observability: system and job metrics, s, and SLO dashboards; root-cause analyses after incidents. 2) Security, Governance & Compliance
• Define and administer RBAC, group mappings (LDAP/AD/SCIM where applicable), project permissions, code-env rights.
• Federate identity and SSO (SAML/OIDC); enforce MFA where required; manage service accounts and secrets (e.g., Vault/KMS).
• Data governance enablement: dataset classification/tagging, lineage visibility, data retention, PII/PHI handling standards.
• Audit logging and evidence collection; periodic access reviews; approval workflows for high-risk actions.
• Model governance: promotion gates, documentation standards, reproducibility checks, drift/bias monitoring and decommissioning.
• Ensure adherence to corporate security frameworks and regulations (e.g., ISO 27001/NIST, GDPR/CCPA, HIPAA as applicable). 3) Procedural Definition & Enforcement
• Author and maintain SOPs/runbooks for provisioning, upgrades, code-env management, plugin lifecycle, and incident/change/problem management (ITIL v4).
• Operate a structured change process (CAB, change windows, rollback criteria) and release calendar for DSS and dependencies.
• Define and enforce standards for:
• Conduct periodic compliance checks and report exceptions with remediation plans. 4) Integration & Environment Management
• Set up and govern connections to data platforms (e.g., Snowflake, BigQuery, Redshift, Synapse, SQL Server/Oracle/Postgres), object storage (S3/ADLS/Blob/GCS), and message/streaming systems.
• Hadoop/Spark/Kerberos integration where used; containerized or Kubernetes execution for scalable workloads.
• Manage code environments (Python/Conda/R): base images, package mirrors, GPU support, vulnerability patching.
• CI/CD for Dataiku projects: Git integration, bundle/deployment automation, environment promotion policies.
• Logging/monitoring integrations (e.g., Splunk/ELK, Prometheus/Grafana), ticketing/ITSM (e.g., ServiceNow), and schedulers (e.g., Airflow) 5) Cost, Capacity & License Management
• Track license usage, concurrency, and compute/storage spend; implement quotas and guardrails.
• Recommend optimization (autoscaling, ephemeral execution, storage lifecycle policies). 6) User Enablement & Platform Adoption
• Curate project templates, starter kits, and best-practice guides.
• Run office hours and trainings (Designer/Developer/Admin audiences).
• Triage platform questions and unblock teams quickly; champion safe and scalable platform usage.

Dataiku,Data Science,Dataiku admin

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.