Senior Data Visualization Developer I (Tableau)

Schneider Electric

Cavite City

Presencial

PHP 900.000 - 1.500.000

Jornada completa

Hace 7 días
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Descripción de la vacante

Schneider Electric is seeking a Senior Tableau Developer to design, develop, and continuously improve enterprise analytics solutions that empower data-driven decisions across the organization.

You will translate complex business and finance requirements into secure, high-performing Tableau dashboards, provide technical leadership, mentor teammates, and promote governed self-service analytics within the Digital Factory.

Formación

  • Translate business requirements into Tableau dashboards and analytics.
  • Design and develop executive dashboards and reports in Tableau.
  • Write and optimize complex SQL queries and data models.
  • Ensure data governance, security, and data quality.

Responsabilidades

  • Design and develop executive dashboards, operational reports, analytical applications using Tableau.
  • Translate business requirements into technical designs, data models, wireframes, dashboards, and actionable insights.
  • Create templates, certified data sources, and standardized visualization components.
  • Ensure dashboards follow data-visualization, accessibility, usability, and storytelling principles.
  • Mentor junior developers and promote governed self-service analytics.

Conocimientos

Tableau
SQL
Data modeling
Dashboard design
Data governance
Mentoring
Performance optimization

Herramientas

Tableau Server
Tableau Prep
APIs

Descripción del empleo

The Senior Tableau Developer will design, develop, deploy, and continuously improve enterprise-grade analytics solutions that enable faster, data-driven decision-making across the organization.

As part of the Digital Factory, the role will translate complex business and finance requirements into intuitive, reliable, secure, and high-performing Tableau dashboards and analytical products. The position will also provide technical leadership, establish development standards, mentor other developers, and promote governed self-service analytics.

Tableau identifies data governance and content governance as essential to providing users with secure access to trusted data while reducing duplicate or outdated analytical content.

The position requires strong technical expertise combined with business acumen to translate complex data into actionable insights.

Key Responsibilities
  • Design and develop executive dashboards, operational reports, analytical applications using Tableau.
  • Translate business requirements into technical designs, data models, wireframes, dashboards, and actionable insights.
  • Level of Detail expressions
  • Table calculations
  • Parameters and sets
  • Dashboard and filter actions
  • Dynamic calculations
  • Geographic visualizations
  • Create templates, certified data sources, and standardized visualization components.
  • Ensure dashboards follow data-visualization, accessibility, usability, and storytelling principles.
Data Preparation and Integration
  • Connect Tableau to multiple data sources, including relational databases, cloud platforms, enterprise applications, APIs, flat files, and data warehouses.
  • Write and optimize complex SQL queries, views, joins, transformations, and stored procedures.
  • Develop efficient data models that support analytical performance, scalability, and maintainability.
  • Collaborate with data engineering/data analyst teams to define data requirements, resolve data-quality issues, and improve upstream data pipelines.
  • Integrate Tableau solutions with other enterprise platforms when required.
Performance Optimization
  • Analyze and improve dashboard loading time, query execution, extracts, calculations, filters, and visual rendering.
  • Apply performance best practices across workbooks, published data sources, database queries, and data models.
  • Identify performance bottlenecks and recommend sustainable technical solutions.
  • Balance dashboard functionality, visual design, data granularity, and system performance.
Governance, Security, and Quality
  • Implement Tableau development, testing, documentation, deployment, and support standards.
  • Apply data-access controls, user permissions, row-level security, and organisational security policies.
  • Support the certification, promotion, maintenance, and retirement of Tableau content.
  • Reduce duplication by promoting reusable and governed data sources.
  • Maintain data lineage, business definitions, technical documentation, and ownership information.
  • Perform unit testing, data reconciliation, peer review, regression testing, and user acceptance testing support.
  • Ensure dashboards provide accurate, complete, traceable, and trusted information.
Business Partnership
  • Partner with Product Owner ,finance, operations, supply chain, other business functions to understand reporting and analytical requirements.
  • Facilitate requirements-gathering workshops and convert business questions into measurable KPIs and visualisation designs.
  • Challenge unclear or low-value requirements and recommend simpler, scalable, and reusable solutions.
  • Present analytical findings and solution designs to both technical and non-technical stakeholders.
  • Manage stakeholder expectations regarding scope, dependencies, priorities, risks, and delivery.
  • Promote adoption by delivering user guidance, demonstrations, training, and knowledge-transfer sessions.
Technical Leadership
  • Serve as a Tableau subject-matter expert within the Digital Factory.
  • Define and promote dashboard design, development, documentation, and deployment standards.
  • Conduct design and code reviews for Tableau solutions developed by other team members.
  • Mentor junior and intermediate developers through technical coaching and knowledge sharing.
  • Evaluate new Tableau features, APIs, integration options, and analytical capabilities.
  • Contribute to the Digital Factory’s technical roadmap, reusable asset library, and analytics community.
  • Support citizen developers while maintaining appropriate governance, security, and quality controls.
Operations and Continuous Improvement
  • Support production dashboards and resolve data, access, refresh, performance, and visualisation issues.
  • Perform root-cause analysis and implement preventive actions for recurring incidents.
  • Monitor dashboard usage, relevance, data-refresh status, and user adoption.
  • Recommend content consolidation or retirement when dashboards are outdated, duplicated, or no longer used.
  • Identify opportunities to automate manual reporting and improve business processes.
  • Maintain technical documentation, solution inventories, release notes, and support procedures.
  • Participate in Agile ceremonies, sprint planning, backlog refinement, demonstrations, and retrospectives.
Key Relationships
  • Product Owner
Who will be successful?
  • Analytical Skills – need to analyse the needs of the business or stakeholders
  • Problem-Solving Skills – This role often involves working with the software from the beginning of a project until completion, so developers need to be able to solve any problems that arise during the development stage and find alternative ways around issues
  • Innovative – This job required creativity and the ability to create innovative solutions to business problems. Developers need to be self-motivated and have the initiative to find solutions and improvements to systems during prototyping and customer testing phases
  • Detail‑Oriented – Tableau Developer need to have strong attention to detail in order to spot inaccuracies in coding or data. Additionally, they can remain focused when working on multiple parts of an application or system at the same time
  • Teamwork – Tableau Developer work as part of a large team and work towards shared business and department goals, so the ability to work professionally with others is vital to being successful in this job.
  • Preferably experienced in handling financial data
  • Should be open to learn and handle different technology stack – including but not limited to BI tools, Data Analytics tools (SQL,Python etc)
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