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Hello, I'm Fia

Data Analyst.

With a passion for helping businesses solve their problems

by leveraging data and a Bachelor's in Economics, 

I combine both fields to understand the needs of

businesses and provide insights that bring them profit.

I am a Data Analyst, certified in Google Data Analytics and also IBM,

I have worked on various local and international projects, including Air Quality Data Provider, a Shoe Laundry and Refurbishing Service, and a Creative Community.

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Experience

As someone who transitioned into the data field, I previously worked in the entertainment industry before moving to the tech industry where I worked as a Data Entry Operator for a music data analytics company. I am also consistently expanding my knowledge in the field of Data Analysis.

Viberate

Data Entry operator (Remote)

2021 - 2023

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Trans Studio Bali

Creative Research Officer (Contract)

2019 - 2021

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NET Mediatama

Creative (Contract)

2018

How my service process looks like

F.A.Q.

Do you still have any questions?

Contact me and I'll. get back to
you as soon as it's possible.

  • What services do you offer as a Data Analyst?
    I offer a range of data analysis services including data collection and cleaning, exploratory data analysis (EDA), statistical analysis, data visualization, dashboard creation, reporting, and consultation on data-driven decision-making.
  • What tools and technologies do you use for data analysis?
    I use various tools and technologies including R, Python, SQL, Excel, Google Sheets, Tableau, Looker, and other data analysis and visualization tools depending on the project's requirements.
  • How do you ensure the quality and accuracy of the data analysis?
    I ensure data quality and accuracy through thorough data cleaning, validation, and verification processes. Additionally, I use robust statistical methods and cross-check results to maintain high standards.
  • Can you handle large datasets?
    Yes, I have experience working with large datasets and can use tools like SQL, Python, and R to efficiently manage and analyze large volumes of data.
  • How do you present your findings?
    I present findings through detailed reports, interactive dashboards, and visualizations. The presentation format is tailored to the client's preferences and the nature of the insights.
  • What is the typical turnaround time for a data analysis project?
    The turnaround time varies depending on the project's complexity and scope. Generally, it ranges from a few days to a few weeks. I provide an estimated timeline after the initial consultation.
  • How do you handle sensitive or confidential data?
    I adhere to strict data privacy and security protocols to ensure that all sensitive and confidential data is protected. This includes secure data storage, encryption, and compliance with relevant data protection regulations.
  • Do you offer ongoing support and consultation after the initial analysis?
    Yes, I offer ongoing support and consultation to help clients implement recommendations and track the impact of the analysis over time.
  • Do you provide training for using data analysis tools and dashboards?
    Yes, I provide training sessions to help clients and their teams effectively use data analysis tools and dashboards, ensuring they can make the most of the provided insights.
  • What kind of industries have you worked with?
    I have experience working with various industries including Shoe Laundry & Refurbishing Services, Air Quality Data Provider, and Creative Community. Each industry has unique data analysis needs, and I tailor my approach accordingly.
  • How do you determine the pricing for your services?
    Pricing is determined based on the project's scope, complexity, and duration. After the initial consultation and requirement gathering, I provide a detailed proposal with a clear pricing structure.
  • What is your approach to handling missing data?
    Handling missing data depends on the context and extent of the missing values. Common approaches include data imputation, removing incomplete records, or using algorithms that can handle missing data. I choose the method that best fits the specific situation.
  • How do you stay updated with the latest trends and technologies in data analysis?
    I stay updated through continuous learning, attending workshops, webinars, and conferences, and participating in professional communities. I also follow industry publications and engage in regular training to keep my skills current.

Get in touch, 
and let's talk about your project

Talk directly with Fia here:

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2024 â“’ Alifia Ganjaraharja

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