Data Analyst

Job Locations PH-Cavite
Posted Date 2 days ago(6/27/2022 1:42 PM)
Project Management


Position Summary

The Data Analyst is responsible for providing reporting and analytical support to enable data-driven decision making.
He/she will support project & operations group by creating custom-reports that require Extract-Transform-Load (ETL) related steps, and build user-friendly & scalable Power BI-based dashboards and other reporting formats, to drive more meaningful insights; (underscoring accuracy & data integrity). This role is expected to continually seek to improve existing reporting processes, frequency, and distribution methods by incorporating automation techniques, initiatives, and technology trends -- he/she must have a proven ability to drive business results with their data-based insights.
He/she must be comfortable working with a wide range of stakeholders and functional teams, underscoring changing requirements;
Can be assigned to different projects local and global needing Data Analyst support.



  • Creates dashboard summaries for reporting purposes using Excel, Power BI;
  • ETL of data from various sources that are used for business-specific reporting.
  • Responsible for the detailed consultation and implementation of the required data analytics solution
  • Understand internal clients’ needs and propose appropriate analytical solutions.
  • Utilize data sets to identify trends
  • Serve as a technical liaison effectively working with data and configuration of different tools or applications to meet specific client objectives.
  • Conceptualizes and develops tools/scripts that can automate the reporting process (usage of complex formula, Excel Macro, VBA, SQL).
  • Builds new reports and templates on top of existing business systems and makes them available to all users"; Creates and tests dynamic reports based on the designed format
  • Designs, tests and proposes improvement to reporting process optimization


 Required Knowledge, Skills and Abilities

  • Advanced experience in Excel (Macros and VBA scripting)
  • Deep to Expert in Power BI data visualization is a must
  • Working experience in Programming, SQL, HIVEQL, etc (e.g. building Tables, creating ETL packages (Extract, Transform, Loading packages) - knowledge in SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS) is a plus
  • Experience in extracting, transforming and loading data from source systems to data analytics platform(s) and reports
  • Experience in analysing different types of data to support business needs and present the results in concise visualisation formats
  • Detail oriented, independent and able to work under pressure to meet deadlines; Adaptable to various stakeholders, business models, and changing requirements
  • Has an inquisitive mind and proactivity to challenge the norms constructively
  • Good communication and presentation skills; Engaging and influencing stakeholders

 Qualifications and Experience

  • At least 3 years of being an Operations Analyst
  • Bachelor’s Degree/Diploma, or the equivalent, preferred. Degree/Diploma in computer science, finance or statistics/mathematics a plus
  • 3+ years solid experience with data visualization or business intelligence development; business analytics & dashboard design experience


Note: Candidates must be willing to work onsite. Office Address: BPO 1 Building, Suntech iPark, Advincula Avenue, Lancaster New City, Barangay Alapan II-B, Imus, 4103 Cavite, Philippines #LI-onsite


If this resonates with you, or if you feel like you would excel in the role, apply now! 


About Appen

Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.


At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we do not give up.


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Growth Strategy

High-quality training data necessarily includes human beings, to record and transcribe speech for example or recognize complex images. Appen uses a crowdsourced model to engage humans at scale, but this increases the cost, time, and complexity of providing data sets. The company relies on technology to accelerate and reduce the cost of training data. It has developed and acquired platform that manages and enables crowd workers.


Appen’s Growth Strategy is Built on Four Pillars

  • Grow in New Markets: Drive growth in target customer segments China, Government, Enterprise, and Global Product
  • Automate our annotation services: Leverage AI and ML in our labelling operations to improve the productivity and quality of our workforce
  • Expand our product offering: Add new products and capabilities to expand into the broader data and AI market
  • Evolve how we do business: Improve the scalability of our operations including sales, project delivery, and crowd management

New About Appen


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