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Pinnacle Digital Services

4.9

6.6

100%

Wollert, Australia

$20 USD per hour

Hi, I’m Jaffer – welcome to Pinnacle Digital Services! At Pinnacle Digital Services, we specialize in crafting high-quality mobile apps, websites, and desktop applications tailored to your unique needs. Our mission is simple: to deliver innovative, results-driven solutions that go beyond expectations. By combining deep technical expertise with a client-centric approach, we ensure every project is aligned with your vision and business goals. Why Choose Pinnacle Digital Services? We’re committed to excellence in every detail. From our first conversation to final delivery and ongoing support, your satisfaction is our priority. We believe in long-term partnerships built on trust, transparency, and collaboration—helping you grow while we grow with you. Our Core Services & Expertise: Web Development Technologies: PHP, MySQL, HTML5, CSS, jQuery, Node.js, Vue.js Frameworks: CodeIgniter, Laravel, CakePHP Mobile App Development Android: Java, Kotlin iOS: Swift Desktop Application Development Languages: Java/JavaFX, C/C++, C#, Python, Matlab, Let’s Build Something Great Together Whether you're launching a startup, streamlining operations, or taking your brand to the next level, we’re ready to turn your ideas into impactful digital experiences. Have questions or a project in mind? Reach out—our dedicated team is always here to help you succeed.

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Alexander B.

4.9

5.2

100%

South Hobart, Australia

$80 USD per hour

I currently work as a business analyst, and have a passion for Excel. I can produce very complicated formulas and write VBA code to perform anything you need, including web data scraping. I have great communication on projects, and will be able to offer not only great quality output, but recommendations on things to improve the project too!

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Wesley J.

5.0

4.9

100%

Schofields, Australia

$70 USD per hour

I have a management consulting background with strong corporate experience. Highly focused & obsessed with customer service and value delivery. Capabilities: 1. Website Development (15 Years experience) - Wordpress - Prestashop - Jquery Development - CSS / HTML5 - E Commerce 2. Microsoft Excel Report Development (17 Years Experience) - Creating dashboards / Business Intelligence solutions - Troubleshooting & Problem Fixing - VBA / Macro design and development - Power BI / Power Query / Power Pivot / Power View - Excel Training (tutored at University) 3. Supply Chain Management (12 Years Experience) - Supply Chain Strategy - Sales & Operations Planning - Supply Chain Operations - Supply Chain Systems (SAP, Oracle) 4. Project Management & Leadership (10 Years Experience) - Led large teams (20 - 150 people) in the context of enterprise transformation - Specialize in managing complex and high pressure projects Languages: - English (Superior / Fluent / Native) - Afrikaans (proficient)

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Qaiser M.

5.0

4.7

93%

Ferryden Park, Australia

$40 USD per hour

With my extensive experience in • Excel & Google Sheets • Google App Script • Python • Web Scraping • Power BI • Looker Studio • Google Analytics • Google Tag Manager • Social Media Marketing • Data Analytics • Web research • JavaScript • Lead Generation • App Store Optimization I am confident I can provide a valuable and unique perspective to your projects. My passion for visual storytelling and commitment to delivering high-quality results have been honed through years of experience working with clients across various industries. I pride myself on my ability to understand each of my client's unique needs and visions and translate that vision into dynamic and engaging content. I am excited about collaborating with you on this project and bringing your ideas to life. Let's connect and explore how we can work together to create something truly extraordinary.

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Ammara H.

5.0

2.9

100%

Quakers Hill, Australia

$15 USD per hour

I am a data analyst providing reliable and timely services in MS Excel, VBA macros and Python. My expertise include: --> Data Processing --> Data Mining --> Data Cleaning --> Pivot Tables --> Charts --> Data Visualization/ Infographics --> Dynamic and Interactive Dashboards --> Advanced Formulas --> Data Validation --> Macros --> VBA --> Data Analysis in Python (numpy, pandas) --> Machine Learning --> Power BI and DAX

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Ahmad G.

5.0

100%

Cherrybrook, Australia

$60 USD per hour

I help businesses design, build, and scale reliable technology systems - from high-performing websites to automated data platforms and cloud infrastructure. With over 20 years of experience across enterprise and growing organisations, I combine strategic thinking with hands-on delivery. Whether you need a modern website, a scalable Azure solution, or executive Power BI dashboards, I build solutions that are clean, secure, and built to last. Core Capabilities Web & eCommerce ✔ WordPress & WooCommerce development ✔ Shopify store design & optimisation ✔ Conversion-focused UX design ✔ Performance optimisation & SEO structure Cloud & Infrastructure ✔ Azure, AWS & Google Cloud deployments ✔ Automation (Power Automate, Logic Apps, Python) ✔ Secure hosting & system integration ✔ API development & system connectivity Business Intelligence & Data ✔ Power BI dashboards & executive reporting ✔ Data modelling (DAX, Power Query, SQL) ✔ API integrations & automated data pipelines ✔ Financial, operational & marketing analytics What you can expect ✔ Clear communication ✔ Structured, well-documented solutions ✔ Performance and security best practices ✔ Long-term scalable architecture ✔ Fast turnaround without cutting corners Based in Australia (AEST), working with clients globally.

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Rubin T.

5.0

4.3

100%

Doonside, Australia

$40 USD per hour

I'm an actuarial graduate with hands-on internship experience, specialising in financial modelling, data analytics, and risk analysis. My actuarial training means I don't just crunch numbers — I understand the probability, uncertainty, and business logic behind them, which is something most data analysts and accountants simply can't offer. I work across Excel, Python, and R to deliver high-quality, accurate work faster than traditional analysts. Whether you need a financial model built from scratch, a dataset turned into clear business insights, a risk assessment, or an automated reporting dashboard, I approach every project with precision and commercial awareness. I've worked in real-world environments through my internship experience and understand what clients actually need: clean outputs, sound assumptions, and analysis they can act on. What I can help you with: - Financial models, forecasts, and scenario/sensitivity analysis - Insurance pricing, reserving support, and risk modelling - Data cleaning, analysis, and visualisation - Automated reporting and dashboard builds - Statistical modelling and regression analysis - Business case development and decision-support tools I'm based in Australia, available for both short-term projects and ongoing engagements, and I take pride in clear communication and on-time delivery. If you need someone who combines rigorous quantitative training with practical business sense, let's talk.

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Charles C.

5.0

2.7

100%

Perth, Australia

$25 USD per hour

I have twenty years experience working for some of the biggest companies in the world in the banking, retail, transport and energy industries. I have also worked for government departments in Australia and the United Kingdom. Being a meticulous person, I strive for accuracy. Whether it be building spreadsheets, writing VBA code, checking text or writing academic articles, I aim to get the task right. I will only bid for jobs that I am confident that I can complete on time and to budget. If I foresee any difficulties in the job, I will let my employer know as far in advance as possible. I currently enjoy the benefits that a lifestyle in Australia offers.

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Pooja R.

5.0

2.1

100%

Bacchus Marsh, Australia

$10 USD per hour

As a data analyst, I have developed strong skills in extracting insights from complex datasets. My expertise spans Power BI, DAX, MS Excel, Google Sheets, Microsoft SQL, and Python, enabling me to proficiently analyze and visualize data to drive informed decision-making. I am well-versed in manipulating data, creating advanced reports, visualising the data, and developing actionable recommendations.

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Clients rate our Data Cleansers

4.9 out of 5

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How to hire a great freelance Data Cleanser

A data cleanser is a freelance specialist who identifies, corrects, and removes inaccurate, duplicate, incomplete, or improperly formatted records from datasets so the information is reliable for reporting, analytics, and operations. Hiring a data cleanser on Freelancer.com gives you access to specialists who can transform messy spreadsheets, CRM exports, and database tables into clean, trustworthy datasets ready for decision-making.

What does a freelance data cleanser actually do?

A data cleansing expert audits raw data, applies a set of standardisation and validation rules, and produces a clean output file or updated database. The work goes beyond deleting bad rows. It includes deduplication, normalisation of formats, handling of missing values, correction of typos, parsing of inconsistent fields, and verification against authoritative sources.

Clean data matters commercially because every downstream system depends on it. Marketing teams waste budget emailing duplicate contacts. Sales teams misforecast when CRM records are stale. Finance teams reconcile incorrectly when supplier names are inconsistent. A data cleansing specialist removes that friction at the source.

Common deliverables from a data cleanser

Deduplicated customer, contact, or product lists with merged records

Standardised address, phone, and email formats validated for deliverability

Normalised company names, country codes, currencies, and date fields

Missing value imputation or flagged gaps with documented rules

Cleaned CRM imports for Salesforce, HubSpot, Zoho, or Pipedrive

Reconciliation reports comparing source files against master records

Reusable cleansing scripts or workflows the client can run again

Data quality audit reports highlighting error rates and root causes

Tools and methodologies data cleansing experts use

Skilled data cleansers work across spreadsheet tools, scripting languages, and dedicated data quality platforms depending on volume and complexity. Expect proficiency in several of the following:

Microsoft Excel and Google Sheets, including Power Query, advanced formulas, and pivot tables

OpenRefine for clustering, faceting, and reconciliation against external datasets

Python with pandas, NumPy, and fuzzy matching libraries such as fuzzywuzzy or RapidFuzz

SQL for deduplication, joins, and rule-based updates across relational databases

R with dplyr and tidyr for transformation and validation

Trifacta, Talend, or Alteryx for visual data preparation pipelines

Regular expressions for parsing unstructured strings and extracting fields

Data validation services for email verification, address standardisation, and phone formatting

Methodologically, a strong data cleansing specialist follows a defined sequence: profiling the dataset, defining cleansing rules with the client, applying transformations in a reproducible way, validating outputs against a known sample, and documenting every change made.

Industries and use cases

Data cleansing is needed wherever organisations accumulate records over time. Common use cases include:

E-commerce product catalogue cleanup, including SKU standardisation and category mapping

CRM hygiene projects before a marketing automation rollout or sales territory realignment

Healthcare patient record reconciliation across multiple intake systems

Financial services KYC data normalisation and entity resolution

Real estate listing data deduplication across MLS and portal feeds

Nonprofit donor database cleanup ahead of fundraising campaigns

Migration projects moving data from legacy systems into new ERPs or databases

Research datasets requiring cleaning before statistical analysis or machine learning

How to evaluate a data cleansing freelancer

Strong candidates show evidence of methodical thinking and tool fluency. Look for portfolio entries that describe before-and-after states, error rates reduced, and the rules applied. Ask for a sample cleansing log or audit report. Confirm comfort with your specific data volume — cleaning 5,000 rows in Excel is very different from cleaning 5 million in SQL.

Useful interview questions to copy and use:

How would you approach deduplicating a contact list where some records have slight name and email variations?

Walk me through the steps you take to profile a dataset before you start cleansing it.

What rules would you apply to standardise international phone numbers and addresses?

Which tools do you choose for datasets above one million rows, and why?

How do you document your changes so the client can audit or repeat the process?

Adjacent skills worth checking on a candidate's profile include data entry, data mining, ETL development, data analysis, Excel modelling, and database administration. A freelancer with experience in these areas often handles the full pipeline rather than just the cleansing step.

Why hire data cleansers on Freelancer.com

Freelancer.com hosts a global pool of data cleansing specialists across every time zone, which means urgent cleanup work can run overnight while your team sleeps. You can review profiles, ratings, completed projects, and verified skills before shortlisting. Clients on Freelancer.com set their own budgets and receive competitive bids, so pricing scales to project complexity rather than a fixed rate. Milestone Payments hold funds securely until deliverables are approved, giving you control over a project that depends heavily on accuracy. Whether you need a one-off spreadsheet cleaned or an ongoing CRM hygiene retainer, you can hire on Freelancer.com with confidence in the depth of available talent.

Ready to turn messy records into reliable data? Post a project on Freelancer.com today and connect with skilled data cleansing freelancers ready to deliver.

What are the steps to hiring a freelance data cleanser?

Hiring a data cleansing specialist works best when you treat the project brief as a small specification document. The clearer you are about the dataset, the rules, and the desired output, the faster you receive accurate bids. The three steps below walk through posting the project, reviewing proposals, and awarding the work.

Step 1: Post your project on Freelancer.com

The project post is the single biggest determinant of bid quality. A vague brief attracts generic bids, while a specific brief filters for freelancers whose experience matches your dataset and tools. Head to the post project page , where you fill in the brief, scope, timeline, and budget before publishing the project for freelancers to bid on.

Describe the dataset: row count, column count, source system, and file format

List the cleansing tasks needed, such as deduplication, standardisation, validation, or imputation

State the tools or environment required, for example Excel, SQL, Python, or OpenRefine

Specify the output format and any required documentation, such as a change log or audit report

Include compliance constraints, sample data if possible, timeline, and budget range

Step 2: Review bids from freelancers

Bids are short proposals that reveal how each freelancer interprets your brief. A strong proposal for a data cleansing project usually outlines a profiling step, names the tools the freelancer will use, suggests a sensible deduplication or validation approach, and asks clarifying questions about edge cases. Read each bid carefully before shortlisting.

Check whether the proposed approach references profiling and rule definition before transformation

Note clarifying questions about ambiguous fields, formatting, or duplicates — a sign of methodical thinking

Confirm the freelancer's tool choice fits your data volume and complexity

Look for sample cleansing logs, before-and-after files, or case descriptions in attachments

Use Freelancer.com's chat to share a small anonymised sample and ask candidates to describe how they would handle it

Step 3: Evaluate freelancers and award the project

The final decision combines proposal quality with profile evidence. For data cleansing, weigh consistency across past projects rather than a single impressive job, since the work is repetitive and accuracy compounds over time. Reviews mentioning thoroughness, documentation, and on-time delivery are particularly telling.

Review portfolio entries showing data profiling, cleansing rules, and measurable error reduction

Check star ratings alongside the volume of completed data-related projects

Read written client reviews for mentions of accuracy, communication, and documentation quality

Confirm verified payment method, completion rate, and on-time delivery rate

Award the project and set Milestone Payments tied to defined deliverables — funds are released only when each milestone is approved, protecting you throughout the engagement

How long does a data cleansing project take?

A simple deduplication of a few thousand contact records can be turned around in a day or two. Larger projects involving multiple source files, custom validation rules, or millions of rows usually take one to three weeks. Timeline depends on data volume, the number of fields needing attention, and how clearly the cleansing rules are defined upfront.

What is the difference between data cleansing and data entry?

Data entry is the act of inputting new information into a system, often from documents or forms. Data cleansing works on existing data, identifying and fixing errors, duplicates, and inconsistencies. Many freelancers offer both, but the skill sets differ — cleansing requires stronger analytical and tooling experience.

Can I hire a data cleansing freelancer for a one-off project?

Yes. Most data cleansing engagements on Freelancer.com are project-based, such as preparing a list before a campaign or cleaning a database before migration. You can also hire on an ongoing basis if records degrade over time and you need regular maintenance.

Do I need to share sensitive data to get the work done?

You can often anonymise or sample your data before sharing it for an initial assessment. For full cleansing work, agree on confidentiality terms with the freelancer and consider redacting personally identifiable information where the cleansing rules allow. Discuss compliance requirements such as GDPR or HIPAA before the project begins.

What format should I provide my data in?

CSV, Excel, and database exports are the most common formats. A skilled freelancer can also work directly in your CRM or database with appropriate access. Confirm the input and output formats during the briefing stage so there is no surprise during delivery.