Lately, everything needs analytics, and LENA is a Philippine start-up that provides just that. We provide personalized end-to-end data solutions to both leaders of industries and to SMEs that are looking for an edge -- whether that is in data collection, data storage, data analytics, AI, data science or data strategy! Our objective goes beyond delivering solutions, but to enable clients to appreciate, learn, and integrate data-driven techniques and analytics for their organizations.
As part of our goal to enable transformation through data, we are looking for future leaders who are looking to improve themselves, and are excited to shape individuals, organizations, and even societies. As a LENA employee, you will be both an analytical and creative engineer who is able to grasp user needs, work together to create impactful solutions, and communicate business outcomes.

LENA is the trade name of Twelve Baskets Analytics, Inc.

--- COMPANY VALUES ---
PASSION FOR LEARNING AND INNOVATION
We appreciate the fact that everyone knows something others do not and no one knows everything they need to know. We learn from ourselves and one another. We practice an attitude of teaching and learning to grow as a team.
We value the journey of finding new and better ways of doing things. We continuously develop works of quality and innovate better practices.

WE AS A TEAM
We promote smart ideas and good collaboration working as a team. We understand and accept the value of feedback, listening, and following. We manage and lead our work in a manner that benefits everyone. We initiate and participate in developing ourselves, our work, our customers, and our workplace.

ENGINEERING AND ENTREPRENEURSHIP
We believe that our work must create value for our customers and ourselves. We approach each day with the initiative to solve business problems smartly and to automate as much as we can.

LENA - Lately, Everything Needs Analytics

As a Data Analyst, you are responsible for deriving insights and action points from data for specific business use cases or contexts.

 

Tasks may include:

<ul>
	<li>Univariate Statistical Analysis</li>
	<li>Exploratory Data Analysis</li>
	<li>Data Visualization and Storytelling</li>
	<li>Statistical Modeling</li>
	<li>Regression Analysis</li>
	<li>Domain-related Analysis, i.e., Geospatial Analysis, Text Analysis, Timeseries Analysis, Market Basket Analysis, Etc.</li>
</ul>

Data Analyst

2X is the global leader in B2B marketing as a service (MaaS), a subscription-based alternative to traditional B2B marketing delivery models. Offering AI-enabled B2B marketing talent and strategic consulting, 2X allows marketing leaders to accelerate growth in today’s resource-constrained environment and to deliver measurable results without increasing budgets. 

Founded in 2017 by three former CMOs from major global corporations, our mission at 2X is to improve marketing performance with powerful, data-driven campaigns that help businesses create more visibility, generate leads, and increase competitive advantage—twice as fast, and with double the impact. 

2X is composed of world-class marketing strategists, developers, analysts, designers and writers who work together to build, run, and optimize marketing. Our company is growing fast, and we’re looking for the best talent to join our pioneering MaaS team. 

2x (Formerly StraightArrow Corporation)

The Data Analyst is responsible for gathering and analyzing data from a variety of sources to identify trends in market performance, customer behavior, and the effectiveness of marketing campaigns. This involves using statistical tools and methods to process and interpret large dataset and using BI platforms to create visualizations comprehensible to a broad audience. They collaborate closely with the marketing team and other functions to convert raw data into valuable insights that drive key business decisions.

Key Accountabilities and Responsibilities:

<ul>
	<li>Database Management: Ensure the overall health of the database, including improving and maintaining data accuracy and relevance, managing data imports and ensuring the uniqueness of records within the CRM, and implementing logical and strategic segmentation.</li>
	<li>ABM Research: Create account dossiers through the gathering of insights and data about target accounts to inform and personalize marketing/sales strategies and tactics.</li>
	<li>Reporting and Visualization: Create reports and dashboards to visualize data insights and present findings to stakeholders, helping them make informed decisions.</li>
	<li>Data Analysis: Analyze large datasets to identify trends, patterns, and insights that can inform marketing strategies.</li>
	<li>Stakeholder Management: Understand, engage, and influence stakeholders to ensure their needs are addressed, building a good rapport with stakeholders.</li>
	<li>Cross-Functional Collaboration: Work with MarOps, Campaigns, Design, and Content to analyze gaps and opportunities.</li>
	<li>Campaign Optimization: Collaborating with marketing teams to optimize campaigns based on data-driven insights, such as adjusting targeting strategies, refining messaging, or reallocating budget.</li>
	<li>People Management: Serve as a senior buddy to data associates, offering guidance and support to foster their learning and development.</li>
</ul>

Primary Responsibilities:

<ul>
	<li>Strategic Assessment: Conduct data assessments to gauge client’s data and marketing maturity, define data goals and objectives, and clarify project scopes with client stakeholders.</li>
	<li>Client Engagement: Establish and align procedures and timelines for data operations and KPIs with clients. Build and stabilize data processes and workflows.</li>
	<li>Cross Functional Collaboration: Engage with MarOps to understand data sources and create workflows to create a seamless environment between all MarTech platforms.</li>
	<li>Priority Coordination: Coordinate priorities with client stakeholders, identifying dependencies or risks proactively.</li>
	<li>Strategy Development: Providing strategic recommendations based on data analysis to improve ROI, customer acquisition, retention, and overall marketing effectiveness.</li>
	<li>Data Analysis: Conducting in depth analysis of marketing campaigns, customer behavior, and market trends using statistical techniques and tools.</li>
	<li>Reporting and Visualization: Creating comprehensive reports and visualizations that effectively communicate insights to stakeholders, including marketing teams, executives, and clients.</li>
	<li>Campaign Optimization: Collaborating with marketing teams to optimize campaigns based on data driven insights, such as adjusting targeting strategies, refining messaging, or reallocating budget.</li>
	<li>People Management: Serve as a senior buddy to data analysts and associates, offering guidance and support to foster their professional development.</li>
</ul>

Senior Data Analyst

Founded in 1987, Questronix Corporation has grown to be one of the largest IT solution provider and systems integrator in the Philippines. We offer best of breed solutions from IT infrastructure to business applications, built on world class technology companies and supported by our certified technical team with proven Filipino expertise and skills available in the country today.

In 1990, Questronix was appointed by IBM as its first business partner for IBM UNIX platform and the company evolved in providing end-to-end solutions that run on IBM technology. After a decade of investment, skills and commitment in working with IBM, Questronix was awarded the Premier Business Partner status, making our company the first Business Partner in the country to be elevated to this exclusive circle.

Our methodology on selecting our technology partners and implementation team for our services ecosystem allows us to deliver consulting-led systems integration focused on open standards, interoperability and proven best practices that result in higher project success rates.

Today, Questronix’s solutions suite include Data Center & IT infrastructure, IT Service Management, Security, Business Continuity, Hybrid Cloud Solutions, Mobility Solutions, Enterprise Resource Planning, Business Analytics, Enterprise Asset Management, Enterprise Content Management, Information and Data Management, Business Process Management and Industry Specific Solutions.

Approaching its 34th year in business, Questronix Corporation continuously strives to improve and evolve coupled by its enduring drive to deliver Filipino excellence and workmanship to its clients. As such, it has earned prestigious awards and recognitions – a proud testimony to its achievements that have firmly etched its name in the IT corporate landscape.

Questronix Corporation

Job Description:

<ul>
	<li>Design, develop, and maintain logical and physical data models to support digital banking services, including real-time payments, onboarding/KYC processes, risk scoring, and customer 360 profiling. </li>
	<li>Collaborate with Product Owners, Data Engineers, Business Analysts, and Compliance teams to translate regulatory and operational requirements into effective data structures. </li>
	<li>Ensure data models support compliance with BSP Circulars (e.g., 1080 on data governance, 1122 on operational resilience), AML/KYC requirements, and consumer protection regulations. </li>
	<li>Work closely with data warehousing and business intelligence teams to support the development of dashboards and analytics for business reporting, regulatory submissions, and marketing automation. </li>
	<li>Perform data normalization, standardization, and deduplication to ensure data quality and minimize redundancy across systems (e.g., core banking, CRM, loan management, e-wallet). </li>
	<li>Participate in the data governance council, supporting metadata management, data cataloging, and lineage tracking. </li>
	<li>Evaluate and recommend data modeling tools and methodologies compatible with cloud-native environments such as AWS, Azure, or GCP, commonly used in digital banks. </li>
	<li>Serve as a liaison between technical and non-technical stakeholders to ensure data models are both technically sound and business-aligned. </li>
</ul>

Data Modeler

Job Description

<ul>
	<li>Analyze and organize raw data</li>
	<li>Build data systems and pipelines</li>
	<li>Evaluate business needs and objectives</li>
	<li>Combine raw information from different sources</li>
	<li>Explore ways to enhance data quality and reliability</li>
	<li>Identify opportunities for data acquisition</li>
	<li>Develop analytical tools and programs</li>
</ul>

Data Engineer

Job Description:

<ul>
	<li>Analyze and organize raw data</li>
	<li>Build data systems and pipelines</li>
	<li>Evaluate business needs and objectives</li>
	<li>Combine raw information from different sources</li>
	<li>Explore ways to enhance data quality and reliability</li>
	<li>Identify opportunities for data acquisition</li>
	<li>Develop analytical tools and programs</li>
</ul>

We are looking for bright and talented Junior Data Engineers to join our dynamic team here at LENA.

As a Junior Data Engineer, you will be responsible for building systems that will collect, manage, and convert raw data into usable information for analysis.

Tasks may include:

<ul>
	<li>Designing, preparing, and programming data engineering workflows from multiple data sources for front-end, analytics, and storage requirements;</li>
	<li>Transforming existing data structures for efficient analytical workflows;</li>
	<li>Accessing and scraping data from various structured and unstructured data sources; and</li>
	<li>Collaborating closely with partners and customers to understand their data, design data structures, and provide functionality that is beneficial to the project.</li>
</ul>

As part of a new team, you will help lay the culture and technical foundation for the team. You will enjoy growth opportunities working alongside a team that encourages intellectual excitement and a startup working environment. You will have the opportunity to bring your skills to the next level and acquire new ones along the way.

Python

Database Software

Data Analysis

Data Management

Junior Data Engineer

As our Data Engineering Manager, you will lead and grow a team of Data Engineers embedded in various client accounts. You will be responsible for people development, performance management, delivery oversight, and organizational influence—working closely with our Head of Data Engineering and the Data Engineering Council.

You are expected to bring deep engineering experience to provide mentorship and coaching, challenge designs, and model sound engineering judgment—especially in solving ambiguous or poorly scoped problems, rather than writing code full-time.



Resposibilities:

People Management

<ul>
	<li>Manage and mentor a team of Data Engineers (mix of junior and senior)</li>
	<li>Conduct regular 1:1s, performance reviews, and career development planning</li>
	<li>Provide both mentorship and coaching to engineers at all levels</li>
	<li>Support onboarding and upskilling of Data Engineers across accounts</li>
</ul>

Technical Leadership

<ul>
	<li>Provide guidance on how Data Engineers design and develop data modeling, ETL/ELT pipeline architecture, testing, and documentation</li>
	<li>Provide development and standards for implementing the data engineering lifecycle and its undercurrents, such as Observability and Software Engineering for each Data Engineer</li>
	<li>Review technical work periodically (e.g., PRs, architecture proposals)</li>
	<li>Collaborate with senior engineers and the Data Engineering Council to set engineering standards and reuse strategies</li>
</ul>

Project Support &amp; Delivery Oversight

<ul>
	<li>Partner with cross-functional leads (e.g., Data Visualization Engineers) to ensure smooth delivery across squads</li>
	<li>Monitor health of delivery: timelines, blockers, data quality issues</li>
	<li>Act as an escalation point for technical and operational challenges</li>
</ul>

Org Building &amp; Process Improvement

<ul>
	<li>Help shape our technical onboarding, leveling framework, and Data Engineer career pathing</li>
	<li>Drive systems thinking: shared libraries, playbooks, reusable infra patterns</li>
	<li>Contribute to recruiting, hiring, and talent branding</li>
</ul>

Performance Management and Coaching

Complex Problem-Solving

Stakeholder Management

People Management

Product Development

Data Engineering Manager

We are looking for bright and talented Senior Data Engineers to join our dynamic team here at LENA.

As a Data Engineer, you are responsible for the development, implementation, and maintenance of systems and processes that convert raw data to actionable, clean, and consistent information for downstream consumers. This job position focuses on keeping data architectures as abstract and straightforward as possible.

Tasks may include:

<ul>
	<li class="text-justify">Managing data engineering lifecycles through off-the-shelf products, managed services, and tools;</li>
	<li class="text-justify">Implementing data warehouses, data lakes, and data meshes;</li>
	<li class="text-justify">Developing data models relevant to the core domain of the client;</li>
	<li class="text-justify">Designing and developing orchestration of data engineering lifecycles;</li>
	<li class="text-justify">Reviewing and providing insight to architectural decision records for different systems that generate data;</li>
	<li class="text-justify">Transforming existing data structures for efficient analytical workflows;</li>
	<li class="text-justify">Serving data for downstream consumers, such as analytics and ML;</li>
	<li class="text-justify">Providing mentorship and training for data engineering; and</li>
	<li class="text-justify">Collaborating closely with partners and customers (upstream and downstream) to understand their data, design data structures, and provide functionality that is beneficial to the project.</li>
</ul>

As part of a new team, you will help lay the culture and technical foundation for the team. You will enjoy growth opportunities working alongside a team that encourages intellectual excitement and a startup working environment. Furthermore, you will provide growth to your team members through mentorship and collaboration. You will have the opportunity to engage with clients and improve in communication, leadership and management skills.

Senior Data Engineer

Gingersnaps | Where Creativity, Craftsmanship, & Passion Come Together

At Gingersnaps, we believe in the magic of everyday dress-up—where fashion becomes a form of play, self-expression, and discovery. Inspired by childhood wonder, we create timeless yet contemporary children’s wear that blends nostalgia with modern style. From everyday essentials to elegant occasion wear, our designs encourage confidence, creativity, and joy in every child’s journey.

As we grow globally, expanding across Asia, Europe, and the US, we remain deeply committed to quality, sustainability, and craftsmanship. We take pride in designing high-quality, thoughtfully crafted pieces that stand the test of time.

Gingersnaps is more than a brand—it’s a community of passionate designers, innovators, and storytellers shaping the future of children’s wear. If you’re looking for a workplace that values creativity, collaboration, and purpose, we’d love to have you on board.

Join us as we bring beautiful, high-quality fashion to the next generation!



GINGERSNAPS Philippines

Job Description

Specific duties:

<ul>
	<li>Monitoring of Yearly Store Pcount Charges Summary</li>
	<li>Pcount Schedule Yearly/Monthly</li>
	<li>Monthly Pcount Status Monitoring</li>
	<li>Pcount Permit Boutique/Depstore</li>
	<li>Conduct Store Pcount</li>
	<li>Cash Advance / Liquidation - Pcount Transpo and Allowance</li>
	<li>Monitoring/Pull out / Delivery efore store Pcount</li>
	<li>Monitoring of Pending for Incoming / after DS Pcount</li>
	<li>Pcount Discrepancy Monitoring Status-Encoding</li>
	<li>Pcount Analysis/Discrepancy Report</li>
	<li>Manual Adjustment / After Department store Analysis</li>
	<li>Egress Zero Out Monitoring</li>
	<li>Sanction / Non Sanction Manual Adjustment</li>
	<li>Monitoring of Delivery Discrepancy / Adjustment</li>
	<li>Store Negative SOH Monitoring-Merchandise</li>
	<li>Store pending ASN Monitoring Pull Out / Delivery</li>
	<li>Pending ASN Delivery / DS Store Assigned</li>
	<li>Monitoring Provincial Deliveries ( Confirmation of Goods)</li>
	<li>Department Store Delivery Incoming</li>
	<li>Department Store Pull Out Incoming</li>
	<li>Monitoring of Pull out Discrepancy</li>
	<li>Pull out discrepancy Manual Adjustment</li>
	<li>Non- Merchandise Manual Adjustment</li>
	<li>Reverse Adjustment ( WH/ STORE )</li>
	<li>Weekly Sales Encoding / Monthly Balancing</li>
	<li>Monthly Monitoring of Actual Sales Vs. Portal</li>
	<li>DMIS Department AM/PM Monthly Summary</li>
	<li>Store AM/PM Encoding / Weekly Summary</li>
	<li>OTRS/BOX/IA Password Monitoring</li>
	<li>Brand Review / Update inventory concern</li>
	<li>WH Analysis / Category</li>
	<li>Warehouse Negative SOH Monitoring ( Merchandise / Non Merchandise)</li>
	<li>Clerance Monitoring</li>
</ul>

Inventory Analyst

Join Our Team as an Inventory Analyst!

Are you a detail-oriented professional with a passion for organization and analysis? Do you thrive in fast-paced environments and have experience in retail inventory management? We’re looking for an Inventory Analyst to join our team and make an impact!

What You'll Do

As an Inventory Analyst, you’ll play a critical role in ensuring accurate and efficient inventory operations. Your key responsibilities include:

Inventory Monitoring &amp; Scheduling

<ul>
	<li>Oversee Yearly Store Physical Count Charges Summary and Pcount schedules (yearly/monthly).</li>
	<li>Track monthly Physical Count status and manage permits for boutique/department store counts.</li>
</ul>

Inventory Discrepancy Analysis &amp; Reporting

<ul>
	<li>Monitor and report discrepancies pre- and post-Physical Count.</li>
	<li>Generate comprehensive Physical Count analysis/discrepancy reports.</li>
</ul>

Sales &amp; Inventory Management

<ul>
	<li>Encode weekly/monthly sales and balance sales reports.</li>
	<li>Review and update inventory concerns, including warehouse and clearance monitoring.</li>
</ul>

OUR BUSINESS

First Gen Corporation (First Gen) is a leading independent power producer in the Philippines that primarily utilizes clean and indigenous fuels such as natural gas, geothermal energy from steam, hydro-electric, wind, and solar power. The company has 3,489 MW of installed capacity in its portfolio, powering 21.4% of the country’s gross generation.

First Gen is a natural gas pioneer and owns four out of the five natural gas-fired power plants in the country. These are the 1500-MW Sta. Rita and San Lorenzo plants, the 97-MW Avion and the 414-MW San Gabriel power plant. Avion will be the first power plant in the Philippines to run on aero-derivative gas turbines while the San Gabriel plant is expected to be the most efficient natural gas-fired plant in Southeast Asia. First Gen also has the largest portfolio of power plants that use clean, renewable and indigenous fuels. The plants are present in all three grids of the Philippines, and can serve the baseload, mid-merit and peaking market segments.

“Going forward, we continue to keep our eye on remaining relevant, effective, pioneering, and smart about the choices we make in moving towards a decarbonized world… First Gen continues to care about the world we live in, and we will continue to dare to make positive contributions.” 
– President and Chief Operating Officer, Francis Giles B. Puno

First Gen Corporation

1. Processing Settlement of Billed Customer Accounts

<ol style="list-style-type: lower-alpha;">
	<li>Monitors customer compliance with security deposit requirements and provisions in the contract and coordinates with other sections/departments in order to facilitate processing and bank posting of security deposits.</li>
	<li>Facilitates customer drawings from SD or return of SD to customers according to contract provisions; consults with assigned Marketing Officer and Legal as needed.</li>
	<li>Tracks and facilitates accurate and timely submission of customers’ certificate of withholding tax (CWT) and coordinates with the Tax group accordingly for validation.</li>
</ol>

2. Processing Settlement of Overdue Customer Accounts

<ol style="list-style-type: lower-alpha;">
	<li>Monitors and facilitates collections from customers, including close monitoring of installment accounts and staggered payment requests, resolves collection problems, detects and acts on early stage delinquencies.</li>
	<li>Validates actual collection, taking into consideration applicable tax deductions and discount entitlements in order to reconcile with billed amounts.</li>
	<li>Sends collection reminders and follow-ups, applies charging of interest or penalties, and attends to requests for waiver of interest charges in coordination with Finance/Accounting.</li>
	<li>Regularly reports to Enterprise Risk Management on customers with delayed payments to flag potential credit issues.</li>
</ol>

3. Systems Automation and Process Improvement Initiatives

<ol style="list-style-type: lower-alpha;">
	<li>Supports the systems automation project and contributes inputs to the development of settlement-related functionalities in the Contract Management System (CMS) including systems integration.</li>
	<li>Keeps up to date with developments in:</li>
</ol>

<ul>
	<li>the Philippine Power Industry (e.g EPIRA, RE Act, WESM, ASPA, Contracts) to ensure alignment of services with the same; and</li>
	<li>overall internal (ABS-based or other) and external developments in accounts management to ensure responsive customer accounts management processes, especially for settlement processes, data validation and reports preparation</li>
</ul>

Settlement Analyst

GameOps Inc. is a Solutions Provider that specializes in full Live Operations Services for Global Online Video Game Publishers and Developers.
We were established in 2010 by veterans of the Philippines Video Game Publishing Industry, with the goal of using our live operations experience to provide a higher value and more encompassing type of support.

Our support philosophy is holistic, and we believe in being able to address every task, role, and need of operating an online game. Not just certain aspects of it.


GameOps Inc.

GameOps is looking for a Business Analyst to provide dedicated support for one of the largest global independent studios, known for its innovative and immersive gaming experiences, and commitment to delivering next-generation AAA games.

As a Business Analyst, you will be supporting the Sales and Marketing team, focusing on revenue prediction models and monetization metrics. You will develop forecasting models for e-commerce promotions and overall sales performance, delivering actionable insights. Working collaboratively with the data analytics team, you'll leverage data resources to optimize revenue streams and evaluate promotion effectiveness, while creating visualizations that help stakeholders understand customer behavior and identify opportunities to enhance monetization.

Key Responsibilities:

Revenue Analytics &amp; Forecasting

<ul>
	<li>Revenue Prediction Modeling: Develop and refine monetization metrics and revenue prediction models using historical data and pattern analysis.</li>
	<li>E-commerce Promotion Forecasting: Build and maintain predictive models for e-commerce promotions, delivering accurate short and long-term forecasts to Directors and Executives.</li>
	<li>Performance Analysis: Conduct thorough post-promotion analysis to measure effectiveness, identify success factors, and provide insights for future optimization.</li>
	<li>ROI Assessment: Evaluate promotion performance against forecasts, calculate return on investment, and identify opportunities for improvement.</li>
</ul>

Data Management &amp; Visualization

<ul>
	<li>Multi-Source Data Analysis: Extract, transform, and analyze data from multiple sources (internal, Google Analytics, Mail Chimp) using SQL and other tools to support sales decisions and strategy development.</li>
	<li>Dashboard Development: Create and maintain Tableau and Microsoft Suite visualizations and reports that clearly communicate sales metrics and promotion performance to stakeholders.</li>
	<li>Quality Assurance: Ensure accuracy and integrity of data outputs, forecast inputs, and daily sales operations reporting.</li>
</ul>

Strategic Collaboration

<ul>
	<li>Insight Development: Transform analytical findings into actionable recommendations for the Sales Director and senior leadership, combining qualitative and quantitative insights.</li>
	<li>Stakeholder Collaboration: Work closely with business leaders to understand business objectives and translate them into measurable KPIs and analytical frameworks.</li>
	<li>Process Improvement: Identify and implement opportunities to automate reporting processes and enhance analytical methodologies.</li>
	<li>Cross-functional Support: Collaborate with the Data Solutions team to maintain data quality and with the Player Behavior and Marketing Analyst to connect marketing with purchase behavior.</li>
	<li>Process Improvement: Monitor key sales metrics to proactively identify trends, opportunities, and potential challenges; identify opportunities to automate reporting processes and enhance analytical methodologies</li>
</ul>

Business Analyst

UnionBank embraces the future of banking and is committed to be the Philippines' leading digital bank to best serve the growing needs of Filipinos everywhere.

The Bank has always been among the first to embrace technological innovations to empower its customers. With this, it has consistently been recognized as of one of Asia's leading companies, ranking among the country's top universal banks in terms of profitability and efficiency.

UnionBank's Digital Transformation Strategy reinforced its commitment to deliver superior customer experiences and promote inclusive prosperity in the country. For several years, the Bank was renowned “Best Digital Bank” by prestigious institutions, and also recognized in areas of transformation, people, and culture. With its drive to “Tech Up Pilipinas” and be an enabler of the Philippines' push to be a G20 country by 2050, UnionBank stands firm in its promise to power the future of banking by co-creating innovations for its customers and for a better world!

Union Bank of the Philippines

As a Data Scientist, you will be instrumental in leveraging AI to solve business challenges and enhance operations. Your key responsibilities include:

Partnering with stakeholders to identify and align AI opportunities.

Leading AI research, experimentation, and prototype development.

Collaborating with cross-functional teams to develop and deploy AI solutions.

Managing AI projects from inception to deployment.

Ensuring data quality and compliance while curating diverse data sources.

Fostering a culture of innovation and knowledge sharing.

Acting as an AI subject matter expert, providing guidance and collaborating with internal and external partners.

Contributing to publications in relevant fields.

Senior Data Scientist Geospatial

<ul>
	<li>Assist in requirements analysis and solutions design.</li>
	<li>Assist in project management deliverables (network matrix, implementation plan, etc.)</li>
	<li>Provide configuration, and administration support for one or more of the following platforms: 
	A.) Microsoft 365 
	B.) aws 
	C.) JumpCloud 
	D.) CrowdStrike 
	E.) Slack 
	F.) Atlassian 
	G.) Docusign 
	H.) ProofPoint 
	I.) GlobalSign</li>
	<li>Assist in Knowledge Transfer for the implemented solutions.</li>
	<li>Work with Security Governance Team to ensure compliance with Cybersecurity-related regulations and industry standards.</li>
</ul>

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