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Data Analyst

Salary undisclosed

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We are seeking a skilled and detail-oriented Data Analyst to join our dynamic team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to help our organization make data-driven decisions. You will work closely with various departments to identify trends, provide insights, and support strategic initiatives.

Responsibilities{​{:}

    }
  • Data Collection and Processing{​{:
  • }
      }
    • Collect and organize data from various sources, ensuring its accuracy and completene
    • s
    • s Clean and preprocess data to prepare it for analys
    • i
    s
  • Data Analysis{​{
  • :
      }
    • } Analyze large datasets to identify trends, patterns, and correlati
    • o
    • ns Develop and maintain data models, reports, and dashboards using tools like SQL, Excel, and BI platforms (e.g., Tableau, Power
    • B
    I
  • ) Reporting and Visualization{​
  • {
      :
    • }} Present data findings in a clear and concise manner through visualizations and rep
    • o
    • rts Create and distribute regular and ad-hoc reports to stakehol
    • d
    e
  • rs Collaboration{
    • {
    • :}} Work closely with cross-functional teams to understand their data needs and provide analytical su
    • p
    • port Collaborate with IT and data engineering teams to ensure data integrity and consis
    • t
    e
  • ncy Insights and Recommendations
  • {
    • {:}} Provide actionable insights and recommendations based on data analysis to support business dec
    • i
    • sions Identify opportunities for process improvements and optimizations usin
    • g
  • data Documentation and Communicatio
  • n
      {
    • ​{:}} Document data analysis processes and method
    • o
    • logies Communicate complex data findings to non-technical stakeholders in an understandable
    m

anner Requi

    r
  • ements Educati
  • o
    • n{​{:}} Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a relat
    e
  • d field Experie
  • n
      c
    • e{​{:}} Proven experience as a Data Analyst or in a similar analyt
    • i
    • cal role Experience with data analysis and visualization tools (e.g., SQL, Excel, Tableau,
    • P
    o
  • wer BI) Technical Sk
  • i
      l
    • ls{​{:}} Strong proficiency in SQL for querying and manipul
    • a
    • ting data Advanced Excel skills, including pivot tables, vlookups, and data vis
    • u
    • alization Familiarity with statistical analysis and data modeling
    • t
    • echniques Experience with programming languages such as Python or R
    i
  • s a plus Analytical S
  • k
      i
    • lls{​{:}} Excellent problem-solving skills and attentio
    • n
    • to detail Ability to analyze large datasets and draw meaningf
    • u
    l
  • insights Communication
  • S
      k
    • ills{​{:}} Strong verbal and written communic
    • a
    • tion skills Ability to explain complex data concepts to non-technical
    • s
    t
  • akeholders Soft
    • S
    • kills{​{:}} Strong organizational and time mana
    • g
    • ement skills Ability to work independently and as p
    • a
    • rt of a team Adaptability and willingness to learn new tools a
    • n
    d
techniques Preferred Qualif

    i
  • cations{​{:}} Master's degree in a
  • r
  • elevant field Experience with big data technologies (e.g.,
  • H
  • adoop, Spark) Knowledge of machine learning algorithms
  • a
  • nd techniques Experience in a specific industry (e.g., finance, healt
hcare, retail)

We are seeking a skilled and detail-oriented Data Analyst to join our dynamic team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to help our organization make data-driven decisions. You will work closely with various departments to identify trends, provide insights, and support strategic initiatives.

Responsibilities{​{:}

    }
  • Data Collection and Processing{​{:
  • }
      }
    • Collect and organize data from various sources, ensuring its accuracy and completene
    • s
    • s Clean and preprocess data to prepare it for analys
    • i
    s
  • Data Analysis{​{
  • :
      }
    • } Analyze large datasets to identify trends, patterns, and correlati
    • o
    • ns Develop and maintain data models, reports, and dashboards using tools like SQL, Excel, and BI platforms (e.g., Tableau, Power
    • B
    I
  • ) Reporting and Visualization{​
  • {
      :
    • }} Present data findings in a clear and concise manner through visualizations and rep
    • o
    • rts Create and distribute regular and ad-hoc reports to stakehol
    • d
    e
  • rs Collaboration{
    • {
    • :}} Work closely with cross-functional teams to understand their data needs and provide analytical su
    • p
    • port Collaborate with IT and data engineering teams to ensure data integrity and consis
    • t
    e
  • ncy Insights and Recommendations
  • {
    • {:}} Provide actionable insights and recommendations based on data analysis to support business dec
    • i
    • sions Identify opportunities for process improvements and optimizations usin
    • g
  • data Documentation and Communicatio
  • n
      {
    • ​{:}} Document data analysis processes and method
    • o
    • logies Communicate complex data findings to non-technical stakeholders in an understandable
    m

anner Requi

    r
  • ements Educati
  • o
    • n{​{:}} Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a relat
    e
  • d field Experie
  • n
      c
    • e{​{:}} Proven experience as a Data Analyst or in a similar analyt
    • i
    • cal role Experience with data analysis and visualization tools (e.g., SQL, Excel, Tableau,
    • P
    o
  • wer BI) Technical Sk
  • i
      l
    • ls{​{:}} Strong proficiency in SQL for querying and manipul
    • a
    • ting data Advanced Excel skills, including pivot tables, vlookups, and data vis
    • u
    • alization Familiarity with statistical analysis and data modeling
    • t
    • echniques Experience with programming languages such as Python or R
    i
  • s a plus Analytical S
  • k
      i
    • lls{​{:}} Excellent problem-solving skills and attentio
    • n
    • to detail Ability to analyze large datasets and draw meaningf
    • u
    l
  • insights Communication
  • S
      k
    • ills{​{:}} Strong verbal and written communic
    • a
    • tion skills Ability to explain complex data concepts to non-technical
    • s
    t
  • akeholders Soft
    • S
    • kills{​{:}} Strong organizational and time mana
    • g
    • ement skills Ability to work independently and as p
    • a
    • rt of a team Adaptability and willingness to learn new tools a
    • n
    d
techniques Preferred Qualif

    i
  • cations{​{:}} Master's degree in a
  • r
  • elevant field Experience with big data technologies (e.g.,
  • H
  • adoop, Spark) Knowledge of machine learning algorithms
  • a
  • nd techniques Experience in a specific industry (e.g., finance, healt
hcare, retail)