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Cookie Settings
We use cookies to provide the essential functionality of the website and its advanced features, to analyse traffic and to improve our services to you, and to provide personalised content to you.
By clicking ‘Accept’ you agree to these. You can read more about our cookies in our Cookie Policy
Essential
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When you log in to the Internet Site the Company will set a cookie containing a randomly generated unique reference number. This anonymous number allows the Company to identify you. The Company will never store your personal information directly as a cookie. A persistent cookie will be set, persistent cookies are not deleted when you close your browser, and will allow the Internet Site to recognise you on your next visit.
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Expiration
Description
ATTBCookie*
ATTBUserID
ATTB_LinkedUserID
2 years
400 days
1 year
These cookies are used to remember a user’s choice about cookies on thebigjobsite.com. Where users have previously indicated a preference, that user’s preference will be stored in these cookies.
ATTBTracking*
Session
These cookies are used by ATTB to understand user interaction with the website.
last-search
search
redirect-stage
original-keyword
1 day
Session
1 hour
1 hour
These cookies are used by thebigjobsite.com to pass search data between our own pages.
datadome
1 year
DataDome is a cybersecurity solution to detect bot activity
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1 days
Used to track if you have seen the Job Alerts prompt and hold settings for your profile. Job Alerts is a service you can subscribe to to receive information about new jobs.
Advanced Features
Advanced features of the site use Cookies to provide information you requested and to reduce you having to key in repeated fields.
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attb-loc
3 months
Stores your location information so that we can pre-populate search fields to find jobs near you.
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attb-prev-visit
1 year
1 year
These cookies are used by ATTB to record when a user last visited the website so that we can highlight new content.
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Typically ranges from session-based (24 hours) to longer-lasting cookies (up to 2 years).
Google Analytics Cookies: Used for tracking and analytics, these cookies collect information about website usage to help understand user behavior. Visitor tracking, session management, and ad performance analysis.
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UULE, EUULE
Typically lasts from a few days to months.
Google Ads / AdSense Cookies: Cookies used for advertisement personalization, conversion tracking, and remarketing by Google Ads. Track ad clicks and impressions, personalize ad content, and measure conversions.
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Typically lasts from a few days to months.
Microsoft Advertising (Bing Ads): Microsoft's tracking cookies for advertising and user analytics. Track user sessions and unique visitors for remarketing campaigns.
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SSID
SAPISID, APISID
SIDCC
SOCS
AEC
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Google Account/Authentication Cookies: These cookies are set by Google services (e.g., Gmail, YouTube) to manage user sessions, preferences, and account security. Authentication, session security, and maintaining user preferences.
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ANON
Typically lasts from a few days to months.
These cookies form part of an analytics service that connects data from Bing with actions performed on the website. These cookies allow Bing to serve relevant advertisements to visitors across the Microsoft Bing network
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CLID
ANONCHK
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MUID
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Typically lasts from a few days to months.
Microsoft Clarity: is a cutting-edge behavioral analytics tool that helps us understand user interaction with your website. By using Clarity, we can enhance the user experience.
About the Role We are looking for a detail-oriented and analytical Data Analyst to join our remote team. The ideal candidate will collect, analyze, and interpret data to uncover actionable insights that support business decisions, improve marketing performance, and optimize operational efficiency. You will work closely with cross-functional teams to transform complex data into meaningful reports and recommendations. The Data Analyst will be responsible for collecting, cleaning, and analyzing data from multiple sources to identify trends and opportunities. Responsibilities Collect, clean, and analyze data from multiple sources to identify trends and opportunities. Develop dashboards, reports, and visualizations to support business and marketing decisions. Monitor key performance indicators (KPIs) and provide regular performance reports. Analyze marketing campaign performance, customer behavior, and website analytics. Collaborate with marketing, sales, product, and leadership teams to provide data-driven recommendations. Perform statistical analysis to identify patterns, risks, and growth opportunities. Ensure data accuracy, integrity, and consistency across reporting systems. Automate recurring reports and improve data collection processes where possible. Present findings and insights in a clear and actionable format to stakeholders. Stay updated with industry trends, analytics tools, and best practices. Qualifications Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field. 2–5 years of experience as a Data Analyst or in a similar analytical role. Required Skills Strong proficiency in Microsoft Excel and Google Sheets. Experience with SQL for querying and managing databases. Knowledge of data visualization tools such as Power BI, Tableau, or Looker Studio. Familiarity with Google Analytics (GA4) and marketing analytics is a plus. Basic understanding of Python or R for data analysis is an advantage. Strong analytical thinking, problem-solving, and attention to detail. Excellent communication skills with the ability to present insights to both technical and non-technical stakeholders. Preferred Skills Experience working with digital marketing or business performance data. Knowledge of CRM platforms and marketing automation tools. Understanding of A/B testing, forecasting, and statistical modeling. Experience with cloud-based data platforms is a plus. Familiarity with AI-powered analytics tools and automation workflows. Pay range and compensation package Competitive salary based on experience. Flexible remote work environment. Opportunity to work on diverse and data-driven projects. Professional development and continuous learning opportunities. Collaborative, innovative, and growth-focused work culture. Career advancement opportunities within a fast-growing organization.