Technology Senior Engineer | BA-GA

Trends Group, Inc.; Metro Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Trends Group, Inc. is seeking a data analytics lead in Makati to translate business needs into technical specs and drive analytics across projects.

You will manage data pipelines, build dashboards, and mentor the data team while coordinating with clients and internal stakeholders to deliver actionable insights.

Qualifications

• Graduate of a 4-year IT-related course.
• Experience implementing a Machine Learning project.
• Ability to explain the development process of projects.
• Demonstrated technical and leadership skills.
• Experience deploying ML models and integrating DS with dashboards.

Responsibilities

• Translate business needs into technical specifications.
• Perform data analytics and define KPIs.
• Support data analysts and data preparation for analysis.
• Build, test, productionize, and deploy data solutions.
• Create and update technical documents.
• Share knowledge and provide training.
• Communicate data value to stakeholders.
• Foster collaboration with other teams.

Skills

Problem solving

Analytical thinking

Communication

Tableau

PowerBI

Alteryx

Python/R

Dashboards

Stakeholder mgmt

Education

BS in IT related field

BS in Computer Science/Engineering

Information Systems/Technology degrees

Electronics/CS related programs

Tools

Tableau

PowerBI

Alteryx

Job description

I. PURPOSE

• Deep interest in research and data analysis, capturing actionable insights from data

• Reports to Analytics Lead

• Collaborates with internal and external teams

• Oversees and Supports activities of the Data Team

• Builds the clients' data collection systems and processing pipelines and data processing frameworks that handle the business's growing database

• Manages and handles simultaneous tasks and projects, prioritize work, while remaining functional under pressure and aggressive timelines

II. DUTIES AND RESPONSIBILITIES

• Help translate business needs and requirements to technical specifications

• Data Analytics

• Help clients define and refine metrics and KPIs that answer their key business questions

• Perform or provide support to data analysts for the following activities:

• Data review and validationofcustomer data collected

• Data profiling to identify and understand anomalies

• Data preparationfor analysis and visualization/reporting

• Solutions building,testing, productionize, and deployment

• Technical document creationand update

• Knowledge sharing and/or technical training

• Createvalue from data by performing analytics and statistical techniques to identify insights, generate recommendations and Communicate data value to key stakeholders

• Develop and maintain collaborative relationships with other stakeholder groups

People Management

• Build an environment where problems can be raised w/o fear of blame, retribution, or judgement

• Be open and actively listen to members' concerns, suggestions

• Ensure that the team is adequately staffed both in terms of numbers and skill set/expertise

• Establish a goal for the team, as well as for each member of the team

• Provide feedback (either positive or negative) to members; Recognize high performance

Project Management

• Triage; Ensure that the project is aligned with the skillsets, direction, and availability of the team

• Allocate resources to projects or requests

• Coordinate and handle multiple, simultaneous pre-sales activities and projects

• Ensure the timely and of quality delivery and completion of projects and services

Process Management

• Help design, implement, and keep up-to-date the processes and systems, ensuring efficient and effective implementation of all projects

• Ensure that all project and team documents are complete as this is the basis for discussions with clients

As a team member

• Help cultivate a psychologically safe environment

• Encourage and help other team members on their weak points, as well as be open to asking for other team members' help on your weak points

• Share knowledge (via brown bag or technical sessions)

• Perform similar duties aligned with the proper execution of roles and responsibilities assigned

III. QUALIFICATIONS

A. Minimum Education

A graduate of any 4-year IT related courses:

• BS in Electronics Engineering§ BS in Electronics and Communications Engineering

• BS in Information Technology§ BS in Computer Engineering

• BS in Computer Science

• BS in Information System

B. Minimum Experience/Training

• Experience implementing a Machine Learning Project

• Can be as a project in your company, a freelance project, or a personal project

• Must be able to explain the process of how the project was developed

• Demonstrated technical and leadership skills

• Collaboration

• Ownership

• Sense of urgency

• Communication

• Experience developing a Machine Learning model and having it used by the client or any end user

• Experience deploying a Machine Learning Model

• Experience integrating a Data Science Solution with Dashboards (tools like Tableau, PowerBI)

• Experience in report and dashboard creation, statistical/data modeling, quantitative analytics, data mining and analysis techniques

C. Competency

• Distinctive problem-solving and analytical skills combined with effective communication skills

• Demonstrated ability to convey complex concepts and solutions to all levels of an organization

• Proficient with Implementation experience in at least one of the following tools: Tableau, Alteryx, and/or PowerBI (Intermediate level)

• Programming Python/R and familiar with data wrangling and modeling libraries

• Has at least one subject area or industry of expertise - knowledge in application domains such as in Finance, Healthcare, Education, Manufacturing

D. Soft Skills

• Persistent and with Integrity.

• Collaborative and Patient.

• Self-starter, Having a growth mindset and Critical Thinker.

• Innovative and Resourceful.

• Attention to detail.

IV. WORKING CONDITIONS

• Amenable to work in Makati

• Amenable to render overtime when needed

• Amenable to compressed work week

• Amenable to engage in pre-sales activities such as product demos, scoping discussion, and other presentations for different groups, from executives to end users